Longbing Cao
#56,201
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Reseacher, computer scientist
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Longbing Caocomputer-science Degrees
Computer Science
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Data Mining
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Machine Learning
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Computer Science
Longbing Cao's Degrees
- PhD Computer Science University of Technology Sydney
- Masters Computer Science University of Technology Sydney
- Bachelors Computer Science University of Technology Sydney
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Why Is Longbing Cao Influential?
(Suggest an Edit or Addition)According to Wikipedia, Longbing Cao is an AI and data science researcher at the University of Technology Sydney, Australia. His broad research interest involves artificial intelligence, data science, behavior informatics, and their enterprise applications.
Longbing Cao's Published Works
Published Works
- Data science (2017) (307)
- Training deep neural networks on imbalanced data sets (2016) (295)
- Deep Learning for Anomaly Detection (2020) (293)
- Effective detection of sophisticated online banking fraud on extremely imbalanced data (2013) (277)
- USpan: an efficient algorithm for mining high utility sequential patterns (2012) (245)
- Personalized recommendation via cross-domain triadic factorization (2013) (232)
- A Survey on Session-based Recommender Systems (2019) (230)
- In-depth behavior understanding and use: The behavior informatics approach (2010) (209)
- Sequential Recommender Systems: Challenges, Progress and Prospects (2019) (200)
- Attention-Based Transactional Context Embedding for Next-Item Recommendation (2018) (166)
- Coupled Behavior Analysis with Applications (2012) (161)
- Data Science (2017) (160)
- Agent Mining: The Synergy of Agents and Data Mining (2009) (154)
- Domain-Driven Data Mining: Challenges and Prospects (2010) (139)
- SVDD-based outlier detection on uncertain data (2012) (136)
- Coupling learning of complex interactions (2015) (122)
- Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection (2018) (121)
- Domain Driven Data Mining (2010) (119)
- Advances in Knowledge Discovery and Data Mining (2014) (111)
- Domain-Driven, Actionable Knowledge Discovery (2007) (106)
- Efficiently Mining Top-K High Utility Sequential Patterns (2013) (98)
- Flexible Frameworks for Actionable Knowledge Discovery (2010) (97)
- Deep Modeling of Group Preferences for Group-Based Recommendation (2014) (94)
- Data Science: A Comprehensive Overview (2020) (94)
- Combined Mining: Discovering Informative Knowledge in Complex Data (2011) (91)
- Post-mining of Association Rules: Techniques for Effective Knowledge Extraction (2009) (90)
- Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences (2016) (89)
- Non-IIDness Learning in Behavioral and Social Data (2014) (88)
- Coupled nominal similarity in unsupervised learning (2011) (86)
- Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks (2019) (84)
- Diversifying Personalized Recommendation with User-session Context (2017) (83)
- Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns (2017) (79)
- Mining Impact-Targeted Activity Patterns in Imbalanced Data (2008) (79)
- An Efficient Approach for Outlier Detection with Imperfect Data Labels (2014) (78)
- Graph Learning based Recommender Systems: A Review (2021) (77)
- The Evolution of KDD: towards Domain-Driven Data Mining (2007) (73)
- GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization (2018) (73)
- Mining Partially-Ordered Sequential Rules Common to Multiple Sequences (2015) (68)
- Data Mining for Business Applications (2008) (67)
- Coupled Attribute Similarity Learning on Categorical Data (2015) (66)
- Behavior Computing (2012) (65)
- Minimax Probability TSK Fuzzy System Classifier: A More Transparent and Highly Interpretable Classification Model (2015) (63)
- Actionable knowledge discovery and delivery (2012) (61)
- Knowledge actionability: satisfying technical and business interestingness (2007) (61)
- Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs (2013) (60)
- Agent-Mining Interaction: An Emerging Area (2007) (59)
- Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2015) (58)
- Data Mining and Multi-agent Integration (2009) (57)
- Domain-Driven Actionable Knowledge Discovery in the Real World (2006) (57)
- T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System (2014) (56)
- Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings (2016) (55)
- Coupled Attribute Analysis on Numerical Data (2013) (55)
- Domain-Driven Data Mining: A Practical Methodology (2006) (54)
- MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis (2015) (52)
- Combined Pattern Mining: From Learned Rules to Actionable Knowledge (2008) (52)
- Discrete Content-aware Matrix Factorization (2017) (50)
- Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting (2016) (49)
- CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering (2018) (48)
- Ontology-based integration of business intelligence (2006) (48)
- Combined Association Rule Mining (2008) (48)
- Advanced Data Mining and Applications (2013) (47)
- A brief introduction to agent mining (2012) (46)
- Margin-based ensemble classifier for protein fold recognition (2011) (46)
- e-NSP: Efficient negative sequential pattern mining (2016) (46)
- HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation (2019) (45)
- A novel graph-based k-means for nonlinear manifold clustering and representative selection (2014) (44)
- Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns (2009) (43)
- TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning (2013) (42)
- An effective contrast sequential pattern mining approach to taxpayer behavior analysis (2016) (41)
- Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data (2018) (41)
- Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings (2016) (41)
- Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects (2013) (41)
- Coupled term-term relation analysis for document clustering (2013) (40)
- Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings (2018) (40)
- Agents and Data Mining: Mutual Enhancement by Integration (2005) (39)
- Novel Intrusion Detection using Probabilistic Neural Network and Adaptive Boosting (2009) (39)
- e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns (2020) (39)
- An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns (2010) (38)
- Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection (2017) (38)
- High-order Proximity Preserving Information Network Hashing (2018) (36)
- Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency (2020) (36)
- Mining for combined association rules on multiple datasets (2007) (36)
- Coupled behavior analysis for capturing coupling relationships in group-based market manipulations (2012) (36)
- Combined mining: Analyzing object and pattern relations for discovering and constructing complex yet actionable patterns (2013) (35)
- Metasynthetic Computing and Engineering of Complex Systems (2015) (35)
- Enhancing online video recommendation using social user interactions (2017) (34)
- Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems (2009) (34)
- CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning (2019) (34)
- Effective lossless condensed representation and discovery of spatial co-location patterns (2018) (34)
- Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction (2020) (34)
- Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning (2019) (33)
- Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns (2009) (32)
- Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data (2020) (32)
- A Similarity-Based Classification Framework for Multiple-Instance Learning (2014) (32)
- Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data (2009) (32)
- Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams (2014) (31)
- A honey-bee-mating based algorithm for multilevel image segmentation using Bayesian theorem (2017) (31)
- New Frontiers in Applied Data Mining (2011) (31)
- Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors (2010) (31)
- Data Science: Challenges and Directions (2020) (31)
- AI in Finance: Challenges, Techniques, and Opportunities (2021) (31)
- Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation (2017) (31)
- Online Video Recommendation in Sharing Community (2015) (30)
- Formalization and Verification of Group Behavior Interactions (2015) (30)
- Similarity-Based Approach for Positive and Unlabeled Learning (2011) (30)
- Two-level matrix factorization for recommender systems (2016) (29)
- Nonoccurring Behavior Analytics: A New Area (2015) (29)
- Efficient Mining of Event-Oriented Negative Sequential Rules (2008) (28)
- e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning (2011) (28)
- Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data (2009) (28)
- Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents (2018) (27)
- F-trade: an agent-mining symbiont for financial services (2007) (27)
- A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K >= 1 (2010) (27)
- Activity Mining: from Activities to Actions (2008) (27)
- Agent services-based infrastructure for online assessment of trading strategies (2004) (27)
- Data Science: Nature and Pitfalls (2016) (27)
- Behavior Informatics and Analytics: Let Behavior Talk (2008) (27)
- Engineering Open Complex Agent Systems: A Case Study (2008) (26)
- SVM-based multi-state-mapping approach for multi-class classification (2017) (25)
- Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains (2016) (25)
- Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci (2022) (25)
- Unsupervised Coupled Metric Similarity for Non-IID Categorical Data (2018) (25)
- Dynamic Infinite Mixed-Membership Stochastic Blockmodel (2013) (25)
- Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning (2017) (25)
- A Coupled Clustering Approach for Items Recommendation (2013) (25)
- Agent-Oriented Metasynthetic Engineering for Decision Making (2003) (25)
- Challenges and Trends (2010) (24)
- COVID-19 Modeling: A Review (2021) (24)
- Domain Driven Data Mining (D3M) (2008) (24)
- A K-Farthest-Neighbor-based approach for support vector data description (2014) (23)
- Data Science Thinking: The Next Scientific, Technological and Economic Revolution (2018) (23)
- Behavior Informatics: A New Perspective (2014) (23)
- Mining in-depth patterns in stock market (2008) (23)
- Evolving soft subspace clustering (2014) (23)
- Multiobjective evolutionary algorithm-based soft subspace clustering (2012) (23)
- Concept coupling learning for improving concept lattice-based document retrieval (2018) (22)
- Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data (2017) (22)
- Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning (2020) (22)
- Autonomous Intelligent Systems: Multi-Agents and Data Mining, Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings (2007) (22)
- Data Science Thinking (2018) (21)
- Coupled fuzzy k-nearest neighbors classification of imbalanced non-IID categorical data (2014) (21)
- F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage (2018) (21)
- Improving the Quality of Recommendations for Users and Items in the Tail of Distribution (2017) (21)
- Social Image Analysis From a Non-IID Perspective (2014) (21)
- Domain-driven in-depth pattern discovery: A practical methodology (2005) (20)
- Coupled Matrix Factorization Within Non-IID Context (2014) (20)
- Introduction to Agent Mining Interaction and Integration (2009) (20)
- A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification (2015) (20)
- Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data (2012) (20)
- Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search (2015) (20)
- Developing actionable trading agents (2009) (20)
- Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network (2017) (19)
- Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities (2021) (19)
- Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation (2018) (19)
- Coupled Node Similarity Learning for Community Detection in Attributed Networks (2018) (18)
- GeoMF++ (2018) (18)
- Unsupervised Heterogeneous Coupling Learning for Categorical Representation (2020) (18)
- Mining Top K Spread Sources for a Specific Topic and a Given Node (2015) (18)
- Graph Learning Approaches to Recommender Systems: A Review (2020) (18)
- A hybrid coupled k-nearest neighbor algorithm on imbalance data (2014) (18)
- Modeling and Analysis of Social Activity Process (2012) (17)
- From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V (2022) (17)
- CGMF: Coupled Group-Based Matrix Factorization for Recommender System (2013) (17)
- Metric-Based Auto-Instructor for Learning Mixed Data Representation (2018) (17)
- Data science and analytics: a new era (2016) (17)
- AI in Finance: A Review (2020) (17)
- An efficient color quantization based on generic roughness measure (2014) (16)
- Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings (2021) (16)
- Market Microstructure Patterns Powering Trading and Surveillance Agents (2008) (16)
- Exploiting Local Data Uncertainty to Boost Global Outlier Detection (2010) (16)
- Class Association Rule Mining with Multiple Imbalanced Attributes (2007) (16)
- The Fish-eye Visualization of Foreign Currency Exchange Data Streams (2005) (16)
- Coupled Clustering Ensemble by Exploring Data Interdependence (2018) (15)
- Permutation anonymization (2016) (15)
- Customer Activity Sequence Classification for Debt Prevention in Social Security (2009) (15)
- CD: A Coupled Discretization Algorithm (2012) (14)
- Fuzzy Genetic Algorithms for Pairs Mining (2006) (14)
- Classification of high-dimensional evolving data streams via a resource-efficient online ensemble (2017) (14)
- Agent Services-Driven Plug-and-Play in F-TRADE (2004) (14)
- Ontology Services-Based Information Integration in Mining Telecom Business Intelligence (2004) (14)
- SMILE: A Similarity-Based Approach for Multiple Instance Learning (2010) (14)
- Fast Local Histogram Specification (2014) (14)
- Organization-Oriented Analysis of Open Complex Agent Systems (2005) (14)
- Human-Computer-Cooperated Intelligent Information System Based on Multi-Agents (2003) (14)
- mPadal: a joint local-and-global multi-view feature selection method for activity recognition (2014) (14)
- Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis (2013) (14)
- Behavior Informatics: An Informatics Perspective for Behavior Studies (2009) (14)
- Developing Actionable Trading Strategies for Trading Agents (2007) (13)
- Exploring Feature Coupling and Model Coupling for Image Source Identification (2018) (13)
- Spatial-temporal attention analysis for home video (2008) (13)
- Ubiquitous Intelligence in Agent Mining (2009) (13)
- DDDM2007: Domain Driven Data Mining (2007) (13)
- Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation (2021) (13)
- Social Security and Social Welfare Data Mining: An Overview (2012) (13)
- Copula Mixed-Membership Stochastic Blockmodel (2016) (13)
- HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering (2019) (12)
- Genetic Algorithms for Robust Optimization in Financial Applications (2005) (12)
- Multi-view attribute reduction model for traffic bottleneck analysis (2015) (12)
- A Practical Methodology (2019) (12)
- Data science and AI in FinTech: an overview (2020) (12)
- Integration of Business Intelligence Based on Three-Level Ontology Services (2004) (12)
- CRNN: Integrating classification rules into neural network (2013) (12)
- A new framework for mining frequent interaction patterns from meeting databases (2015) (12)
- Guest Editors' Introduction: Agents and Data Mining (2009) (12)
- Deep Modeling Complex Couplings within Financial Markets (2015) (12)
- Agent services-oriented architectural design of open complex agent systems (2005) (11)
- Coupled Item-Based Matrix Factorization (2014) (11)
- Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis (2013) (11)
- Integrating Agent, Service and Organizational Computing (2008) (11)
- Towards Business Interestingness in Actionable Knowledge Discovery (2008) (10)
- One-Class-Based Uncertain Data Stream Learning (2011) (10)
- Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context (2018) (10)
- Modeling Asymmetry and Tail Dependence among Multiple Variables by Using Partial Regular Vine (2014) (10)
- Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty (2021) (10)
- A bi-modal face recognition framework integrating facial expression with facial appearance (2009) (10)
- Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence (2018) (10)
- Deep Reinforcement Learning for Unknown Anomaly Detection (2020) (10)
- Model the complex dependence structures of financial variables by using canonical vine (2012) (10)
- Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices (2012) (10)
- Multi-view Information-theoretic Co-clustering for Co-occurrence Data (2019) (9)
- Opportunities and Prospects (2015) (9)
- Systematic Engineering in Designing Architecture of Telecommunications Business Intelligence System (2003) (9)
- Leveraging Supervised Label Dependency Propagation for Multi-label Learning (2013) (9)
- Special Issue on AI and FinTech: The Challenge Ahead (2020) (9)
- Financial Crisis Forecasting via Coupled Market State Analysis (2015) (9)
- Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation (2008) (9)
- Mining actionable combined patterns of high utility and frequency (2015) (9)
- Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback (2021) (9)
- Knowledge-leverage based TSK fuzzy system with improved knowledge transfer (2014) (9)
- Stock Data Mining through Fuzzy Genetic Algorithms (2006) (9)
- Ontology Transformation in Multiple Domains (2004) (9)
- Data Science: Profession and Education (2019) (9)
- Multi-label learning based on iterative label propagation over graph (2014) (9)
- Data Science Education (2018) (9)
- Multi-strategy Integration for Actionable Trading Agents (2007) (8)
- Expression-invariant facial identification (2009) (8)
- Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks (2017) (8)
- i-Analyst: An Agent-Based Distributed Data Mining Platform (2010) (8)
- Agent Collaboration for Multiple Trading Strategy Integration (2008) (8)
- Multi-Space-Mapped SVMs for Multi-class Classification (2008) (8)
- On the convergence of some possibilistic clustering algorithms (2013) (8)
- Debt Detection in Social Security by Adaptive Sequence Classification (2009) (8)
- Actionable Knowledge Discovery (2009) (8)
- The OSOAD Methodology for Open Complex Agent Systems (2005) (8)
- Homophily outlier detection in non-IID categorical data (2021) (8)
- Combined Mining : Analyzing Object and Pattern Relations for Discovering Actionable Complex Patterns (2012) (8)
- Document similarity analysis via involving both explicit and implicit semantic couplings (2015) (8)
- Ertek, G., Demiriz, A., Çakmak, F. (2012) "Linking Behavioral Patterns to Personal Attributes through Data Re-Mining" in Behavior Computing: Modeling, Analysis, Mining and Decision. Eds: (2012) (8)
- Domain-Driven Data Mining: Methodologies and Applications (2006) (8)
- Data Mining Applications in Social Security (2009) (8)
- Soft subspace clustering with competitive agglomeration (2011) (7)
- A New Age of AI: Features and Futures (2022) (7)
- An efficient orientation distance–based discriminative feature extraction method for multi-classification (2013) (7)
- Coupling Multiple Views of Relations for Recommendation (2015) (7)
- Asymptotic power of likelihood ratio tests for high dimensional data (2013) (7)
- Coupled market behavior based financial crisis detection (2013) (7)
- Interactive Probabilistic Post-Mining of User-Preferred Spatial Co-Location Patterns (2018) (7)
- AI in Combating the COVID-19 Pandemic (2022) (7)
- Enhancing Mobile App User Understanding and Marketing With Heterogeneous Crowdsourced Data: A Review (2019) (7)
- Outlier Mining on Multiple Time Series Data in Stock Market (2008) (7)
- Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation (2018) (7)
- Developing Actionable Trading Strategies (2009) (7)
- Beyond i.i.d.: Non-IID Thinking, Informatics, and Learning (2022) (7)
- Semantic Approximate Keyword Query Based on Keyword and Query Coupling Relationship Analysis (2014) (7)
- A novel auto-parameters selection process for image segmentation (2012) (7)
- A cellular automata hybrid quasi-random Monte Carlo simulation for estimating the one-to-all reliability of acyclic multi-state information networks (2012) (7)
- Identity tests for high dimensional data using RMT (2012) (7)
- Open Complex Intelligent Systems: Fundamentals, Concepts, Analysis, Design and Implementation (2008) (7)
- Activity Mining: Challenges and Prospects (2006) (7)
- Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation (2010) (7)
- Copula-Based High Dimensional Cross-Market Dependence Modeling (2017) (7)
- Discovering Debtor Patterns of Centrelink Customers (2006) (7)
- Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation (2020) (6)
- Vote-Based LELC for Positive and Unlabeled Textual Data Streams (2010) (6)
- Domain-Driven Data Mining : Empowering Actionable Knowledge Delivery (2009) (6)
- Mining High Impact Exceptional Behavior Patterns (2007) (6)
- Agents and Data Mining Interaction (2012) (6)
- Agents and Data Mining Interaction (2013) (6)
- Integrating Workflow into Agent-Based Distributed Data Mining Systems (2010) (6)
- Graph-based coupled behavior analysis: A case study on detecting collaborative manipulations in stock markets (2012) (6)
- Mining actionable combined high utility incremental and associated patterns (2016) (6)
- Heterogeneous Univariate Outlier Ensembles in Multidimensional Data (2020) (6)
- Detecting Turning Points of Trading Price and Return Volatility for Market Surveillance Agents (2007) (5)
- Exception Mining on Multiple Time Series in Stock Market (2008) (5)
- Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation (2021) (5)
- An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints (2021) (5)
- Mix2Vec: Unsupervised Mixed Data Representation (2020) (5)
- Modeling positive and negative feedback for improving document retrieval (2019) (5)
- Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data (2021) (5)
- New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops (2012) (5)
- Coupled K-Nearest Centroid Classification for Non-iid Data (2014) (5)
- Top-10 Data Mining Case Studies (2012) (5)
- Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation (2021) (5)
- Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities (2022) (5)
- Behavior and Social Computing (2013) (5)
- Actionable Combined High Utility Itemset Mining (2015) (5)
- BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values (2021) (5)
- Behavior Informatics to Discover Behavior Insight for Active and Tailored Client Management (2017) (5)
- Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis (2010) (5)
- F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments (2008) (5)
- Vine Copula-Based Asymmetry and Tail Dependence Modeling (2018) (5)
- Agent-Based Self-Adaptable Context-Aware Network Vulnerability Assessment (2013) (5)
- The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning (2020) (4)
- Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization (2011) (4)
- Agent-based approach for analysis and design of open giant intelligent systems (2002) (4)
- TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning (2019) (4)
- K-farthest-neighbors-based concept boundary determination for support vector data description (2010) (4)
- Negative Sequence Analysis (2019) (4)
- AI in FinTech: A Research Agenda (2020) (4)
- Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators (2021) (4)
- Conservation of water molecules in protein binding interfaces (2012) (4)
- T 2 FELA : Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System (2013) (4)
- Advanced Data Mining and Applications (2013) (4)
- Agents and Data Mining: Interaction and Integration (2011) (4)
- Modeling and Forecasting the Popularity Evolution of Mobile Apps (2018) (4)
- A shrinkage estimation for large dimensional precision matrices using random matrix theory (2012) (4)
- Optimal Allocation of High Dimensional Assets through Canonical Vines (2013) (4)
- Advances in Knowledge Discovery and Data Mining (2013) (4)
- Top-k coupled keyword recommendation for relational keyword queries (2017) (4)
- Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content (2019) (4)
- Orientation distance-based discriminative feature extraction for multi-class classification (2010) (4)
- Generalized Hidden-Mapping Minimax Probability Machine for the training and reliability learning of several classical intelligent models (2018) (4)
- Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part ... / Lecture Notes in Artificial Intelligence) (2013) (4)
- 2007 International Workshop on Domain Driven Data Mining (2007) (4)
- Personalized next-best action recommendation with multi-party interaction learning for automated decision-making (2021) (4)
- Intelligence Metasynthesis in Building Business Intelligence Systems (2006) (4)
- Learning deep relevance couplings for ad-hoc document retrieval (2021) (4)
- Classification by ALH-fast algorithm (2010) (3)
- Learning Complex Couplings and Interactions (2021) (3)
- Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II (2011) (3)
- Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages (2014) (3)
- Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II (2011) (3)
- Developing Actionable Trading Strategies for Trading Agents (2007) (3)
- Trends and Applications in Knowledge Discovery and Data Mining (2013) (3)
- Coupled Collaborative Filtering for Context-aware Recommendation (2015) (3)
- Metasynthetic Computing for Solving Open Complex Problems (2008) (3)
- A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing (2022) (3)
- TCTM: an evaluation framework for architecture design on wireless sensor networks (2013) (3)
- Multi-agent system for customer relationship management with SVMs tool (2010) (3)
- Intelligence Metasynthesis and Knowledge Processing in Intelligent Systems (2008) (3)
- Answer Keyword Generation for Community Question Answering by Multiaspect Gamma–Poisson Matrix Completion (2021) (3)
- Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction (2022) (3)
- Financial crisis and global market couplings (2015) (3)
- Agents and Data Mining Interaction: 7th International Workshop (2012) (3)
- Building Agent Service Oriented Multi-Agent Systems (2007) (3)
- Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II (2013) (3)
- On Discovering the Correlated Relationship between Static and Dynamic Data in Clinical Gait Analysis (2013) (3)
- Health and medical behavior informatics (2020) (3)
- Adaptive Anomaly Detection of Coupled Activity Sequences (2009) (3)
- Time-Sensitive Feature Mining for Temporal Sequence Classification (2010) (3)
- An approach of hierarchical concept clustering on Medical Short Text corpus (2013) (3)
- Conference Report on 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2015) [Conference Reports] (2016) (2)
- Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action (2022) (2)
- Agent-Driven Data Mining (2010) (2)
- Prospects and Opportunities in Data Science (2018) (2)
- Mining Exceptional Activity Patterns in Microstructure Data (2008) (2)
- D 3 M Methodology (2010) (2)
- Integrative early requirements analysis for agent-based systems (2004) (2)
- Hybrid Strategy of Analysis and Control of Telecommunications Frauds (2004) (2)
- DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction (2021) (2)
- Multi-View Actionable Patterns for Managing Traffic Bottleneck (2015) (2)
- FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control (2019) (2)
- Open Giant Intelligent Information Systems and Its Agent-Oriented Abstraction Mechanism (2003) (2)
- Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design (2003) (2)
- CoupledMUTS: Coupled Multivariate Utility Time-Series Representation and Prediction (2022) (2)
- SEGMENTATION ALGORITHMS IN HIGH FREQUENCY TIME-SERIES DATA (2007) (2)
- A New Multimodal Biometric for Personal Identification (2010) (2)
- Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data (2020) (2)
- Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA) (2021) (2)
- Ontological Engineering in Data Warehousing (2006) (2)
- Cognitive Aspects-Based Short Text Representation with Named Entity, Concept and Knowledge (2020) (2)
- Mining Contextual Item Similarity without Concept Hierarchy (2022) (2)
- Maximum Entropy Reinforcement Learning with Evolution Strategies (2020) (2)
- Non-IID Federated Learning (2022) (2)
- Theoretical Evaluation of Ring-Based Architectural Model for Middle Agents in Agent-Based System (2003) (2)
- Evolutionary Optimization of Trading Strategies (2008) (2)
- Novel Apriori-Based Multi-Label Learning Algorithm by Exploiting Coupled Label Relationship (2017) (1)
- The Foundation of Fuzzy Rule Interchange in the Semantic Web (2013) (1)
- AutoAI: Autonomous AI (2022) (1)
- Advanced Data Mining and Applications: 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I (2014) (1)
- VM-NSP (2021) (1)
- The Visualization of Large Database in Stock Market (2005) (1)
- A Cost-Effective LSH Filter for Fast Pairwise Mining (2009) (1)
- eVAE: Evolutionary Variational Autoencoder (2023) (1)
- CRNN : Integrating Classification Rule and Neural Network (2013) (1)
- Coupling Analysis Between Twitter and Call Centre (2015) (1)
- KDD'15: Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2015) (1)
- A Chinese question classification using one-vs-one method as a learning tool (2008) (1)
- Message from the Workshop Chairs (2020) (1)
- Coupled Behavior Representation, Modeling, Analysis, and Reasoning (2014) (1)
- High-dimensional Cross-market Dependence Modeling and Portfolio Forecasting by Copula Variational LSTM (2021) (1)
- mPadal: a joint local-and-global multi-view feature selection method for activity recognition (2014) (1)
- Behavior and Social Computing: International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, Australia, April 14-17 (2013) (1)
- Advances in Knowledge Discovery and Data Mining (2013) (1)
- Non-parametric Power-law Data Clustering (2013) (1)
- Mining preferred navigation patterns by consolidating both selection and time preferences (2016) (1)
- Special issue on behavior computing (2013) (1)
- Data Science Techniques (2018) (1)
- Trading Strategy Based Portfolio Selection for Actionable Trading Agents (2012) (1)
- Data Science Discipline (2018) (1)
- Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood (2016) (1)
- Revealing the Distributional Vulnerability of Discriminators by Implicit Generators. (2021) (1)
- Modeling time evolving COVID-19 uncertainties with density dependent asymptomatic infections and social reinforcement (2021) (1)
- Agent Services-Oriented Architectural Design of a Framework for Artificial Stock Markets (2006) (1)
- Multi-agent System for Custom Relationship Management with SVMs Tool (2008) (1)
- Extracting discriminative features for identifying abnormal sequences in one-class mode (2013) (1)
- AI Science and Engineering: A New Field (2022) (1)
- Data Science in Applications (2023) (1)
- Revised Selected Papers of PAKDD 2013 International Workshops on Trends and Applications in Knowledge Discovery and Data Mining - Volume 7867 (2013) (1)
- Advances in Knowledge Discovery and Data Mining 21st Pacific Asia Conference, PAKDD 2017 Held in Jeju, South Korea, May 23 26, 2017. Proceedings Part I, Part II. (2017) (1)
- Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting (2022) (1)
- An integrated investment decision-support framework analysing and synthesising multidimensional market dynamics (2008) (1)
- EOCS-MCP 2008 Workshop Organization (2008) (1)
- Open Giant Intelligent Information Systems and Its Multiagent-Oriented System Design (2003) (1)
- Big data analytics -innovation and practices (2015) (1)
- Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations (2013) (1)
- Maximum margin clustering on evolutionary data (2012) (1)
- Agent Services-Oriented Analysis and Design (2004) (0)
- An efficient orientation distance–based discriminative feature extraction method for multi-classification (2013) (0)
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- Data science and analytics: a new era (2016) (0)
- Robust Textual Data Streams Mining Based on Continuous Transfer Learning (2013) (0)
- AI and data science for smart emergency, crisis and disaster resilience (2023) (0)
- Open Issues and Prospects (2010) (0)
- Enhanced co-occurrence distances for categorical data in unsupervised learning (2010) (0)
- PC Chairs' Preface (2017) (0)
- Data Science Challenges (2018) (0)
- A non-parametric shrinkage mean estimation for arbitrary quadratic loss functions and unknown covariance matrices (2012) (0)
- A Theoretical Framework of the Graph Shift Algorithm (2012) (0)
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Message from the technical program chairs (2010) (0)
- ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation (2022) (0)
- Book Review: Computational Methods of Feature Selection (2008) (0)
- CMF: Coupled Matrix Factorization for Recommender Systems (2014) (0)
- Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers (2013) (0)
- Agents and Data Mining Interaction: 7th InternationalWorkshop, ADMI 2011 Taipei, Taiwan, May 2-6, 2011 Revised Selected Papers (2012) (0)
- International Workshop on Behavior Informatics (BI 2011): PC chairs' message (2012) (0)
- Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science (2023) (0)
- Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science (2023) (0)
- Mining preferred navigation patterns by consolidating both selection and time preferences (2015) (0)
- Editorial to the Proceedings of mobile technologies in enterprise computing systems workshop (MTECS 2009) (2009) (0)
- Coupled Attribute Similarity Learning on Categorical Data for Multi-Label Classification (2017) (0)
- Coupled Collective Matrix Factorization (2018) (0)
- ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty (2023) (0)
- Data Economy and Industrialization (2018) (0)
- Deep Learning Applications (2022) (0)
- IEEE DSAA-The IEEE Flagship Conference in Data Science [Society Briefs] (2020) (0)
- AI Science and Engineering (2022) (0)
- CCE: A Coupled Framework of Clustering Ensembles (2012) (0)
- SVDD-based outlier detection on uncertain data (2012) (0)
- Behavior Informatics and Analytics : A New and Promising Area (2015) (0)
- Classification of high-dimensional evolving data streams via a resource-efficient online ensemble (2017) (0)
- Agents and Data Mining Interaction, 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15, 2009, Revised Selected Papers (2009) (0)
- Expert–Machine Collaborative Decision Making: We Need Healthy Competition (2022) (0)
- Revised Selected Papers of the 9th International Workshop on Agents and Data Mining Interaction - Volume 8316 (2013) (0)
- Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis (2019) (0)
- PROCEEDINGS 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology -- IAT 2011 (2011) (0)
- IAT 2008 Title Page iii (2008) (0)
- Label and Distribution-discriminative Dual Representation Learning for Out-of-Distribution Detection (2022) (0)
- Data Mining in Financial Markets (2009) (0)
- Agents and Data Mining Interaction : 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers (2015) (0)
- CoupledCF : (2018) (0)
- dhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream (2021) (0)
- TBQ($\sigma$): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning (2019) (0)
- A brief introduction to agent mining (2012) (0)
- Non-iidness: coupled object and pattern analysis (2012) (0)
- Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search (2014) (0)
- Proceedings of the 6th international conference on Agents and data mining interaction (2010) (0)
- Top-k coupled keyword recommendation for relational keyword queries (2016) (0)
- Mining Actionable Knowledge on Social Security Data (2010) (0)
- Agents and Data Mining Interaction: 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers (2014) (0)
- Gray Learning from Non-IID Data with Out-of-distribution Samples (2022) (0)
- Financial Crisis and Global Market Couplings.dvi (2015) (0)
- Non-IID Learning (2022) (0)
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- WI-IAT Workshops 2008 Title Page iii (2008) (0)
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- Knowledge Processing in Intelligent Systems (2008) (0)
- A K-Farthest-Neighbor-based approach for support vector data description (2014) (0)
- Introduction to the special issue on Data Science in Asia (with PAKDD’2017) (2018) (0)
- Recurrent Coupled Topic Modeling over Sequential Documents (2021) (0)
- Agent Service-Oriented Detailed Design (2015) (0)
- WI 2008 Title Page iii (2008) (0)
- Chapter 1 Introduction to Domain Driven Data Mining (2008) (0)
- Introduction to the special issue on Data Science in Asia (with PAKDD’2017) (2018) (0)
- EOCS-MCP 2008 Workshop Committee Workshop Co-Chairs (2008) (0)
- Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data (2022) (0)
- D 3 M AKD Frameworks (2010) (0)
- Coupling Online-Offline Learning for Multi-distributional Data Streams (2022) (0)
- Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining (2005) (0)
- Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models (2013) (0)
- Agent Service-Oriented Architectural Design (2015) (0)
- Modeling User Demand Evolution for Next-basket Prediction (2022) (0)
- Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing (2022) (0)
- Part II of the Proceedings of the 9th International Conference on Advanced Data Mining and Applications - Volume 8347 (2013) (0)
- Title Page Iii - IAT 2011 (2011) (0)
- Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective (2023) (0)
- Two-level matrix factorization for recommender systems (2015) (0)
- Proceedings of the 15th international conference on New Frontiers in Applied Data Mining (2011) (0)
- An effective contrast sequential pattern mining approach to taxpayer behavior analysis (2015) (0)
- Learning Complex Behavioral and Social Data (2015) (0)
- Table2Vec-automated universal representation learning of enterprise data DNA for benchmarkable and explainable enterprise data science (2021) (0)
- Welcome from DSAA 2014 chairs (2014) (0)
- Preface to the 2013 international workshop on domain driven data mining (2013) (0)
- Trustworthy Machine Learning (2022) (0)
- Erratum: A Coupled Clustering Approach for Items Recommendation (2013) (0)
- WI-IAT 2012 Workshops Preface (2012) (0)
- CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data (2015) (0)
- How control and relaxation interventions and virus mutations influence the resurgence of COVID-19 (2021) (0)
- Effective detection of sophisticated online banking fraud on extremely imbalanced data (2012) (0)
- Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences (2022) (0)
- A convergence theorem for graph shift-type algorithms (2013) (0)
- Cover Art - IAT 2011 (2011) (0)
- Chapter 6 Data Mining Applications in Social Security (2008) (0)
- Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection (2022) (0)
- Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees (2010) (0)
- Advanced Data Mining and Applications (2010) (0)
- THE EVOLUTION OF KDD: TOWARDS DOMAIN-DRIVEN (2007) (0)
- Chapter 2 Modeling and Analysis of Social Activity Process (2012) (0)
- Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network (2013) (0)
- Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization (2018) (0)
- Chapter 1 Introduction to Agent Mining Interaction and Integration (2009) (0)
- Special issue on behavior computing (2013) (0)
- Learning Heterogeneous Coupling Relationships Between Non-IID Terms (2013) (0)
- Bayesian Federated Learning: A Survey (2023) (0)
- Message from the EOCS-MCP 2008 Workshop Organizers (2008) (0)
- The Data Science Era (2018) (0)
- Agents and Data Mining Interaction (2014) (0)
- Mining Actionable Knowledge on Capital Market Data (2010) (0)
- A Coupled Similarity Kernel for Pairwise Support Vector Machine (2014) (0)
- Chapter IX Domain Driven Data Mining (2019) (0)
- Data Science Foundations (2018) (0)
- Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science (2021) (0)
- Modeling COVID-19 uncertainties evolving over time and density-dependent social reinforcement and asymptomatic infections (2021) (0)
- BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series (2023) (0)
- Temporal Conditional VAE for Distributional Drift Adaptation in Multivariate Time Series (2022) (0)
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