Chengqi Zhang

Q: What Schools Are Affiliated With Chengqi Zhang

Chengqi Zhang is affiliated with the following schools: University of Science and Technology of China, University of Technology Sydney, University of New England

Chengqi Zhang's AcademicInfluence.com Rankings

Chengqi Zhang

Computer Science

#4434

World Rank

#4671

Historical Rank

Data Mining

#68

World Rank

#68

Historical Rank

Computational Linguistics

#423

World Rank

#430

Historical Rank

Machine Learning

#865

World Rank

#877

Historical Rank

computer-science Degrees

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Computer Science

Chengqi Zhang's Degrees

PhD Computer Science University of Science and Technology of China
Masters Computer Science University of Science and Technology of China
Bachelors Computer Science University of Science and Technology of China

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Chengqi Zhang's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A Comprehensive Survey on Graph Neural Networks (2019) (4288)
Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019) (752)
DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding (2017) (626)
Adversarially Regularized Graph Autoencoder for Graph Embedding (2018) (545)
Efficient mining of both positive and negative association rules (2004) (503)
Network Representation Learning: A Survey (2017) (456)
Association Rule Mining: Models and Algorithms (2002) (445)
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks (2020) (433)
Tri-Party Deep Network Representation (2016) (364)
Data preparation for data mining (2003) (272)
Association Rule Mining (2002) (235)
Attributed Graph Clustering: A Deep Attentional Embedding Approach (2019) (221)
Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support (2009) (220)
Learning Graph Embedding With Adversarial Training Methods (2019) (163)
Bag Constrained Structure Pattern Mining for Multi-Graph Classification (2014) (160)
Mining Both Positive and Negative Association Rules (2002) (159)
Probabilistic Exposure Fusion (2012) (155)
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (2018) (144)
Database classification for multi-database mining (2005) (136)
Support vector machines based on K-means clustering for real-time business intelligence systems (2005) (136)
An information filtering model on the Web and its application in JobAgent (2000) (129)
Semi-parametric optimization for missing data imputation (2007) (127)
Modeling Location-Based User Rating Profiles for Personalized Recommendation (2015) (127)
Domain Driven Data Mining (2010) (119)
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling (2018) (118)
Efficient approximate entity extraction with edit distance constraints (2009) (118)
Missing Value Imputation Based on Data Clustering (2008) (115)
PRICAI 2004: Trends in Artificial Intelligence (2004) (109)
Domain-Driven, Actionable Knowledge Discovery (2007) (106)
Flexible Frameworks for Actionable Knowledge Discovery (2010) (97)
Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features (2018) (91)
Homophily, Structure, and Content Augmented Network Representation Learning (2016) (91)
User Profile Preserving Social Network Embedding (2017) (91)
Combined Mining: Discovering Informative Knowledge in Complex Data (2011) (91)
Post-mining of Association Rules: Techniques for Effective Knowledge Extraction (2009) (90)
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding (2018) (88)
Self-adaptive attribute weighting for Naive Bayes classification (2015) (88)
Cross-Domain Collaborative Filtering over Time (2011) (84)
Learning to Propagate for Graph Meta-Learning (2019) (79)
Mining Impact-Targeted Activity Patterns in Imbalanced Data (2008) (79)
Multi-Database Mining (2003) (78)
Federated Learning for Open Banking (2021) (75)
Scalable big graph processing in MapReduce (2014) (75)
The Evolution of KDD: towards Domain-Driven Data Mining (2007) (73)
Cooperation Under Uncertainty in Distributed Expert Systems (1992) (72)
Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification (2015) (70)
Data Mining for Business Applications (2008) (67)
Binarized attributed network embedding (2018) (66)
Multi-Instance Learning with Discriminative Bag Mapping (2018) (65)
POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases (2009) (65)
Deep Learning From Noisy Image Labels With Quality Embedding (2017) (65)
Social Recommendation With Evolutionary Opinion Dynamics (2020) (64)
Multiple Structure-View Learning for Graph Classification (2018) (64)
Convex Sparse PCA for Unsupervised Feature Learning (2016) (63)
Knowledge actionability: satisfying technical and business interestingness (2007) (61)
Identifying interesting visitors through Web log classification (2005) (60)
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph (2019) (59)
Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications (2018) (59)
Locally Densest Subgraph Discovery (2015) (59)
Agent-Mining Interaction: An Emerging Area (2007) (59)
Task Sensitive Feature Exploration and Learning for Multitask Graph Classification (2017) (59)
Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (2004) (59)
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2015) (58)
Post-mining: maintenance of association rules by weighting (2003) (57)
Domain-Driven Actionable Knowledge Discovery in the Real World (2006) (57)
Graph stream classification using labeled and unlabeled graphs (2013) (55)
Clustering-based Missing Value Imputation for Data Preprocessing (2006) (55)
Rating Knowledge Sharing in Cross-Domain Collaborative Filtering (2015) (54)
MA-IDS Architecture for Distributed Intrusion Detection using Mobile Agent (2004) (54)
Cortical Gyrification and Sulcal Spans in Early Stage Alzheimer's Disease (2012) (54)
Domain-Driven Data Mining: A Practical Methodology (2006) (54)
GBKII: An Imputation Method for Missing Values (2007) (53)
Positive and Unlabeled Multi-Graph Learning (2017) (52)
A Hybrid Model for Sharing Information Between Fuzzy, Uncertain and Default Reasoning Models in Multi-agent Systems (2002) (52)
Combined Pattern Mining: From Learned Rules to Actionable Knowledge (2008) (52)
Agent-Based Hybrid Intelligent Systems (2004) (51)
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification (2016) (50)
Dynamic Concept Composition for Zero-Example Event Detection (2016) (49)
Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data (2017) (49)
Attribute Propagation Network for Graph Zero-Shot Learning (2020) (49)
SODE: Self-Adaptive One-Dependence Estimators for classification (2016) (48)
Salient Subsequence Learning for Time Series Clustering (2019) (48)
Combined Association Rule Mining (2008) (48)
Ontology-based integration of business intelligence (2006) (48)
Incremental Subgraph Feature Selection for Graph Classification (2017) (47)
Margin-based ensemble classifier for protein fold recognition (2011) (46)
Identifying Global Exceptional Patterns in Multi-database Mining (2004) (45)
Computing the minimum-support for mining frequent patterns (2008) (44)
Multi-graph-view Learning for Graph Classification (2014) (44)
Multi-instance Multi-graph Dual Embedding Learning (2013) (44)
Noisy but non-malicious user detection in social recommender systems (2013) (43)
Finding the best not the most: regularized loss minimization subgraph selection for graph classification (2015) (42)
TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs (2015) (42)
Multi-Agent Systems Methodologies and Applications (1996) (42)
Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams (2012) (42)
Unsupervised Feature Learning from Time Series (2016) (41)
Product hierarchy-based customer profiles for electronic commerce recommendation (2002) (40)
Agents and Data Mining: Mutual Enhancement by Integration (2005) (39)
FedProto: Federated Prototype Learning across Heterogeneous Clients (2021) (39)
ARMGA: IDENTIFYING INTERESTING ASSOCIATION RULES WITH GENETIC ALGORITHMS (2005) (37)
Cost-sensitive classification with inadequate labeled data (2012) (37)
Online Learning from Trapezoidal Data Streams (2016) (36)
One-class learning and concept summarization for data streams (2011) (36)
Mining for combined association rules on multiple datasets (2007) (36)
Cost-Sensitive Classification with k-Nearest Neighbors (2013) (35)
Multi-Graph Learning with Positive and Unlabeled Bags (2014) (35)
An improvement to matchmaking algorithms for middle agents (2002) (35)
Information sharing between heterogeneous uncertain reasoning models in a multi-agent environment: a case study (2001) (34)
Efficient Attributed Network Embedding via Recursive Randomized Hashing (2018) (33)
Cost-Sensitive Decision Trees with Multiple Cost Scales (2004) (32)
Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data (2009) (32)
Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns (2009) (32)
EDUA: An efficient algorithm for dynamic database mining (2007) (32)
CFOND: Consensus Factorization for Co-Clustering Networked Data (2019) (31)
Attributed network embedding via subspace discovery (2019) (30)
Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks (2016) (30)
Similarity-Based Approach for Positive and Unlabeled Learning (2011) (30)
Consistent Weighted Sampling Made More Practical (2017) (30)
Design and Applications of Intelligent Agents (2001) (29)
An Empirical Study of Bagging Predictors for Different Learning Algorithms (2011) (29)
A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules (2004) (29)
Efficient Frequent Itemsets Mining by Sampling (2006) (28)
Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data (2009) (28)
Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach (2014) (28)
e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning (2011) (28)
Identifying Approximate Itemsets of Interest in Large Databases (2004) (28)
Efficient Mining of Event-Oriented Negative Sequential Rules (2008) (28)
Optimized Parameters for Missing Data Imputation (2006) (28)
An agent-based hybrid framework for database mining (2003) (28)
Cleansing Noisy Data Streams (2008) (27)
Agent services-based infrastructure for online assessment of trading strategies (2004) (27)
Empirical Study of Bagging Predictors on Medical Data (2011) (27)
Activity Mining: from Activities to Actions (2008) (27)
A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K >= 1 (2010) (27)
Cooperative strategy for web data mining and cleaning (2003) (27)
F-trade: an agent-mining symbiont for financial services (2007) (27)
Engineering Open Complex Agent Systems: A Case Study (2008) (26)
HECODES: A Framework for Heterogeneous Cooperative Distributed Expert Systems (1991) (26)
Isometric Propagation Network for Generalized Zero-shot Learning (2021) (26)
SINE: Scalable Incomplete Network Embedding (2018) (25)
Cost-Sensitive Imputing Missing Values with Ordering (2007) (25)
Adversarially Regularized Graph Autoencoder (2018) (25)
Propagating temporal relations of intervals by matrix (2002) (24)
Challenges and Trends (2010) (24)
Multi-graph-view subgraph mining for graph classification (2016) (23)
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games (2020) (22)
CLAP: Collaborative pattern mining for distributed information systems (2011) (22)
Agent-Based Distributed Data Mining: A Survey (2009) (22)
Build Emotion Lexicon from Microblogs by Combining Effects of Seed Words and Emoticons in a Heterogeneous Graph (2015) (22)
Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications (1997) (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)
An Efficient Implementation of the Backtesting of Trading Strategies (2005) (22)
Time-Variant Graph Classification (2016) (22)
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases (2005) (21)
Mining frequent serial episodes over uncertain sequence data (2013) (21)
Cost Sensitive Classification in Data Mining (2010) (21)
Guest Editors' Introduction: Information Enhancement for Data Mining (2004) (21)
A Verification Model for Electronic Transaction Protocols (2004) (20)
An efficient strategy for mining exceptions in multi-databases (2004) (20)
Domain-driven in-depth pattern discovery: A practical methodology (2005) (20)
Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness (2017) (20)
Potential Cases, Methodologies, and Strategies of Synthesis of Solutions in Distributed Expert Systems (1999) (19)
Vague One-Class Learning for Data Streams (2009) (19)
Summarizing probabilistic frequent patterns: a fast approach (2013) (19)
Improved Consistent Weighted Sampling Revisited (2017) (18)
TCSST: transfer classification of short & sparse text using external data (2012) (18)
Toward databases mining: Pre-processing collected data (2003) (18)
Global and Local Influence-based Social Recommendation (2016) (18)
Enhancing grid-density based clustering for high dimensional data (2011) (18)
Building an Ontology for Financial Investment (2000) (17)
Efficient Attribute Reduction Based on Discernibility Matrix (2007) (17)
Distributed Artificial Intelligence Architecture and Modelling (1995) (17)
$K$ -Ary Tree Hashing for Fast Graph Classification (2018) (17)
Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash (2016) (17)
Detecting inconsistency in biological molecular databases using ontologies (2007) (17)
Class Association Rule Mining with Multiple Imbalanced Attributes (2007) (16)
A Review for Weighted MinHash Algorithms (2018) (16)
The Fish-eye Visualization of Foreign Currency Exchange Data Streams (2005) (16)
Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization (2016) (16)
A Recent-Biased Dimension Reduction Technique for Time Series Data (2005) (16)
Proceedings of the 10th IEEE International Conference on Data Mining (ICDM) (2010) (15)
Anytime mining for multiuser applications (2002) (15)
Customer Activity Sequence Classification for Debt Prevention in Social Security (2009) (15)
Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems (2021) (15)
Deep Reinforcement Learning with Transformers for Text Adventure Games (2020) (15)
An Agent-Based Hybrid System for Microarray Data Analysis (2009) (15)
Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search (2015) (15)
An efficient and simple under-sampling technique for imbalanced time series classification (2012) (15)
A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification (2012) (14)
Conference on Neural Information Processing Systems (2019) (14)
Agent Services-Driven Plug-and-Play in F-TRADE (2004) (14)
Discovering Interesting Association Rules by Clustering (2004) (14)
Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation (2019) (14)
Organization-Oriented Analysis of Open Complex Agent Systems (2005) (14)
Fuzzy Genetic Algorithms for Pairs Mining (2006) (14)
The Weighting Issue in Fuzzy Logic (1997) (14)
Deep neighbor-aware embedding for node clustering in attributed graphs (2022) (14)
Discovering causality in large databases (2002) (14)
Mining Probabilistic Representative Frequent Patterns From Uncertain Data (2013) (14)
Defragging Subgraph Features for Graph Classification (2015) (14)
Do they belong to the same class: active learning by querying pairwise label homogeneity (2011) (13)
Heterogeneous Transformation of Uncertainties of Propositions Among Inexact Reasoning Models (1994) (13)
Ubiquitous Intelligence in Agent Mining (2009) (13)
Bioinformatics in protein kinases regulatory network and drug discovery. (2015) (13)
Boosting for graph classification with universum (2016) (13)
DDDM2007: Domain Driven Data Mining (2007) (13)
An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution (2011) (13)
Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis (2010) (13)
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy (2020) (13)
Developing Actionable Trading Strategies for Trading Agents (2007) (13)
Dual instance and attribute weighting for Naive Bayes classification (2014) (13)
Missing or absent? A Question in Cost-sensitive Decision Tree (2006) (12)
Multi-Graph-View Learning for Complicated Object Classification (2015) (12)
Identifying bridging rules between conceptual clusters (2006) (12)
Integration of Business Intelligence Based on Three-Level Ontology Services (2004) (12)
Genetic Algorithms for Robust Optimization in Financial Applications (2005) (12)
The effect of varying levels of class distribution on bagging for different algorithms: An empirical study (2014) (11)
An Agent-Based Hybrid Intelligent System for Financial Investment Planning (2002) (11)
Towards Mining Trapezoidal Data Streams (2015) (11)
Introduction to the Domain-Driven Data Mining Special Section (2010) (11)
Agent services-oriented architectural design of open complex agent systems (2005) (11)
On the Convergence of Clustered Federated Learning (2022) (11)
Cost-Time Sensitive Decision Tree with Missing Values (2007) (10)
SNOC: Streaming Network Node Classification (2014) (10)
Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention (2020) (10)
Multi-Instance Learning from Positive and Unlabeled Bags (2014) (10)
Towards Business Interestingness in Actionable Knowledge Discovery (2008) (10)
Building agent-based hybrid intelligent systems: A case study (2007) (10)
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation (2016) (10)
Dual influence embedded social recommendation (2018) (10)
Definition and Application of a Comprehensive Framework for Distributed Problem Solving (1995) (9)
Combining Structured Node Content and Topology Information for Networked Graph Clustering (2017) (9)
Stock Data Mining through Fuzzy Genetic Algorithms (2006) (9)
Estimating itemsets of interest by sampling (2001) (9)
PerSentiment: A Personalized Sentiment Classification System for Microblog Users (2016) (9)
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together (2018) (9)
Towards Anomalous Diffusion Sources Detection in a Large Network (2016) (9)
RCP Mining: Towards the Summarization of Spatial Co-location Patterns (2015) (9)
Collective Hyping Detection System for Identifying Online Spam Activities (2017) (9)
Analysis and Methodologies of Synthesis of Solutions in Distributed Expert Systems (1996) (9)
Intelligent Agent (2008) (9)
Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning (2014) (9)
Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation (2008) (9)
Proof of the Correctness of EMYCIN Sequential Propagation Under Conditional Independence Assumptions (1999) (9)
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention (2020) (9)
Systematic Engineering in Designing Architecture of Telecommunications Business Intelligence System (2003) (9)
Result fusion in multi-agent systems based on OWA operator (2000) (8)
Data Mining Applications in Social Security (2009) (8)
Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings (Lecture Notes ... / Lecture Notes in Artificial Intelligence) (2004) (8)
Overview of Security Protocol Analysis (2008) (8)
Debt Detection in Social Security by Adaptive Sequence Classification (2009) (8)
A Probability Data Model and its Semantics (2003) (8)
Exploring Consensus RNA Substructural Patterns Using Subgraph Mining (2017) (8)
A Logical Framework for Knowledge Sharing in Multi-agent Systems (2001) (8)
ENDL: A Logical Framework for Verifying Secure Transaction Protocols (2003) (8)
Attribute weighting: How and when does it work for Bayesian Network Classification (2014) (8)
The OSOAD Methodology for Open Complex Agent Systems (2005) (8)
A Method for Combining Interval Structures (1998) (8)
Domain-Driven Data Mining: Methodologies and Applications (2006) (8)
A Database-Independent Approach of Mining Association Rules with Genetic Algorithm (2003) (8)
A Probabilistic Data Model and Its Semantics (2004) (8)
Co-clustering enterprise social networks (2016) (8)
Multi-Space-Mapped SVMs for Multi-class Classification (2008) (8)
Guest Editors' Introduction: Special Section on Intelligent Data Preparation (2005) (7)
Collecting Quality Data for Database Mining (2001) (7)
An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data (2011) (7)
Using propensity scores to predict the kinases of unannotated phosphopeptides (2017) (7)
Database clustering for mining multi-databases (2002) (7)
Discovering Debtor Patterns of Centrelink Customers (2006) (7)
A Human-Friendly MAS for Mining Stock Data (2006) (7)
Semi-supervised Variable Weighting for Clustering (2011) (7)
ON DATA STRUCTURES FOR ASSOCIATION RULE DISCOVERY (2007) (7)
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering (2021) (7)
Interval-Based Similarity for Classifying Conserved RNA Secondary Structures (2016) (7)
Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation (2010) (7)
Generalization in Text-based Games via Hierarchical Reinforcement Learning (2021) (7)
Detecting Collusion Attacks in Security Protocols (2006) (6)
Clustering High-Dimensional Data with Low-Order Neighbors (2004) (6)
Group Pattern Discovery Systems for Multiple Data Sources (2005) (6)
PAKDD 2004 : Advances in knowledge discovery and data mining : 8th Pacific-Asia conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004 : proceedings (2004) (6)
A Class of Isomorphic Transformations for Integrating EMYCIN-Style and PROSPECTOR-Style Systems into a Rule-Based Multi-Agent System (1999) (6)
CONFIDENCE METRICS FOR ASSOCIATION RULE MINING (2009) (6)
5 Agent-Based Framework for Hybrid Intelligent Systems (2004) (6)
Mining bridging rules between conceptual clusters (2010) (6)
Online diffusion source detection in social networks (2015) (6)
Community detection in complex network based on APT method (2020) (6)
An Axiom Foundation for Uncertain Reasonings in Rule-Based Expert Systems: NT-Algebra (1999) (6)
Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data (2013) (6)
Association-Based Segmentation for Chinese-Crossed Query Expansion (2005) (6)
Active Class Discovery and Learning for Networked Data (2013) (6)
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes (2020) (6)
8 Agent-Based Hybrid Intelligent System for Data Mining (2004) (6)
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints (2021) (5)
System Modeling of a Smart-Home Healthy Lifestyle Assistant (2012) (5)
Identifying Software Component Association With Genetic Algorithm (2004) (5)
F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments (2008) (5)
Exception Mining on Multiple Time Series in Stock Market (2008) (5)
Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis (2010) (5)
Detecting Turning Points of Trading Price and Return Volatility for Market Surveillance Agents (2007) (5)
Temporal Feature Selection on Networked Time Series (2016) (5)
Learning colours from textures by sparse manifold embedding (2011) (5)
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing (2022) (5)
Active Learning from Oracle with Knowledge Blind Spot (2012) (5)
Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data (2018) (5)
LSLNCF: A Hybrid Uncertain Reasoning Model Based on Probability (1998) (5)
The Consensus of Uncertainties in Distributed Expert Systems (1995) (5)
An agent-based framework for petroleum information services from distributed heterogeneous data resources (2002) (5)
Neural Network Strategies for Solving Synthesis Problems in Non-conflilct Cases in Distributed Expert Systems (1995) (5)
Data Science (2015) (4)
Dynamic Test-Sensitive Decision Trees with Multiple Cost Scales (2005) (4)
Intelligence Metasynthesis in Building Business Intelligence Systems (2006) (4)
Agents and Data Mining: Interaction and Integration (2011) (4)
Data Mining and Multi-database Mining (2004) (4)
2007 International Workshop on Domain Driven Data Mining (2007) (4)
Query languages for 1NF temporal databases (1997) (4)
Mining Better Technical Trading Strategies with Genetic Algorithms (2006) (4)
Secure Transaction Protocol Analysis: Models and Applications (2008) (4)
Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting. (2022) (4)
A Unified Algebraic Structure for Uncertain Reasoning (1996) (4)
Fast Directional Self-Attention Mechanism (2018) (4)
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion (2020) (4)
Adapting K-Means Algorithm for Discovering Clusters in Subspaces (2006) (4)
Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data (2006) (4)
A Ring-Based Architectural Model for Middle Agents in Agent-Based System (2003) (3)
The design and implementation of a knowledge-based communication system in a framework for distributed expert systems (1995) (3)
Transformation between the EMYCIN Model and the Bayesian Network (1997) (3)
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning (2021) (3)
Perceiving Environments for Intelligent Agents (2000) (3)
Information-Based Cooperation in Multiple Agent Systems (1999) (3)
SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams (2015) (3)
Proceedings of the 10th IEEE International Conference on Data Mining Workshops (ICDMW) (2010) (3)
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games (2022) (3)
Information Fusion and Decision Making for Utility-based Agents (2007) (3)
Application of MAS in Implementing Rational IP Routers on the Priced Internet (1996) (3)
A time framework for temporal databases (1997) (3)
Estimating confidence intervals for structural differences between contrast groups with missing data (2009) (3)
Synthesis Strategies in Non-connict Cases in Distributed Expert Systems (1995) (3)
Identifying Interesting Patterns in Multidatabases (2005) (3)
Constructing hybrid intelligent systems for data mining from agent perspectives (2004) (3)
Mining Inhibition Pathways for Protein Kinases on Skeletal Muscle (2014) (3)
Cooperative Heterogeneous Deep Reinforcement Learning (2020) (3)
Adaptive Anomaly Detection of Coupled Activity Sequences (2009) (3)
An Agent-Based Soft Computing Society (2000) (3)
Testing the significance of patterns in data with cluster structure (2010) (3)
Developing Actionable Trading Strategies for Trading Agents (2007) (3)
Kernel-Based Multi-Imputation for Missing Data (2006) (3)
MINING DEPENDENT PATTERNS IN PROBABILISTIC DATABASES (2004) (3)
Search Efficient Binary Network Embedding (2019) (3)
Competitive and Cooperative Heterogeneous Deep Reinforcement Learning (2020) (3)
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study (2020) (3)
3 Basics of Agents and Multi-agent Systems (2004) (3)
Negative Association Rule (2002) (3)
Evolutionary Optimization of Trading Strategies (2008) (2)
Detection Models of Collusion Attacks (2008) (2)
A scalable and robust framework for agent-based heterogeneous database operation (2003) (2)
An agent-based curve-digitizing system for well-logging data management (2003) (2)
Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior (2016) (2)
Artificial intelligence : sowing the seeds for the future : proceedings of the 7th Australian Joint Conference on Artificial Intelligence : Armidale, New South Wales, Australia, 21-25 November 1994 (1994) (2)
Isomorphic transformations of uncertainties for incorporating EMYCIN-style and PROSPECTOR-style systems into a distributed expert system (2008) (2)
Verifying the Purchase Request in SET Protocol (2003) (2)
Negotiation as a Metaphor for Connict Resolution in Distributed Artiicial Intelligence (1993) (2)
IMC: A Method for Interval Calculus in Matrix (1999) (2)
Identifying Exceptional Patterns (2004) (2)
Modeling Temporal Semantics of Data (2003) (2)
Efficient Mining of Both Positive and (2004) (2)
Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design (2003) (2)
Open Giant Intelligent Information Systems and Its Agent-Oriented Abstraction Mechanism (2003) (2)
Identifying High-vote Patterns (2004) (2)
An agent-based middleware for uniform operation in a heterogeneous database environment (2002) (2)
Matching dominance: capture the semantics of dominance for multi-dimensional uncertain objects (2014) (2)
Discovering Associations in Very Large Databases by Approximating (2003) (2)
Integrative early requirements analysis for agent-based systems (2004) (2)
Cross-View Feature Hashing for Image Retrieval (2016) (2)
D 3 M Methodology (2010) (2)
SEGMENTATION ALGORITHMS IN HIGH FREQUENCY TIME-SERIES DATA (2007) (2)
Identifying frequent terms in text databases by association semantics (2003) (2)
An agent-based intelligent system for information gathering from World Wide Web environment (2002) (2)
Using ENDL to Verify Cardholder Registration in SET Protocol (2002) (2)
The Verification Logic for Secure Transaction Protocols (2002) (2)
Theoretical Evaluation of Ring-Based Architectural Model for Middle Agents in Agent-Based System (2003) (2)
Hybrid Strategy of Analysis and Control of Telecommunications Frauds (2004) (2)
Pattern Discovery in Probabilistic Databases (2001) (2)
Agent-Driven Data Mining (2010) (2)
Temporal constraint satisfaction in matrix method (2003) (2)
Design and applications of intelligent agents : third Pacific Rim International Workshop on Multi-Agents, PRIMA 2000, Melbourne, Australia, August 28-29, 2000 : proceedings (2000) (1)
An approach to digitizing and managing well-logging parameter graphs with agent-based perspective (2003) (1)
Description and treatment of deadlocks in the Hecodes distributed expert system (1990) (1)
A Serving Agent for Integrating Soft Computing and Software Agents (1999) (1)
Synthesis of Solutions in Distributed Expert Systems (2007) (1)
SCTR: An Approach to Digitizing Welllogging Graphn (2003) (1)
Mind the Trends When You Mine: Incremental Data Mining (2002) (1)
The Visualization of Large Database in Stock Market (2005) (1)
KDD'15: Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2015) (1)
Local Pattern Analysis (2004) (1)
A Database-Independent Strategy for Confidence Determination (2003) (1)
Dealing with Inconsistency (2004) (1)
Spatial decision support systems for natural resource management (1993) (1)
A platform for dynamic organization of agents in agent-based systems (2004) (1)
Secure Transaction Protocol Analysis (2009) (1)
A framework for merging inconsistent beliefs in security protocol analysis (2005) (1)
PRICAI 2004 : trends in artificial intelligence : 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004 : proceedings (2004) (1)
An Agent-based Soft Computing Society with Applications in Financial Investment Planning (2003) (1)
A Multiple Decomposed Approach for RelevantFunctions in Information (1999) (1)
ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 (2010) (1)
Post-processing of multimedia information - concents, problems, and techniques (2001) (1)
Encoding probability propagation in belief networks (2002) (1)
Agent Services-Oriented Architectural Design of a Framework for Artificial Stock Markets (2006) (1)
Building Agent-Based Hybrid Intelligent Systems (2003) (1)
2 Basics of Hybrid Intelligent Systems (2004) (1)
Verifying the Payment Authorization in SET Protocol (2003) (1)
Is Frequency Enough for Decision Makers to Make Decisions? (2006) (1)
Distributed artificial intelligence : architecture and modelling : First Australian Workshop on DAI, Canberra, ACT, Australia, November 13, 1995 : proceedings (1996) (1)
Intelligent Strategies for Pathway Mining: Model and Pattern Identification (2014) (1)
Considering agents track records in matchmaking of middle agents (2001) (1)
Mining Co-locations from Continuously Distributed Uncertain Spatial Data (2016) (1)
Noisy but non-malicious user detection in social recommender systems (2012) (1)
XEvent: An Event Notification System over Distributed Hash Table (DHT) Networks (2005) (1)
In-Depth Data Mining and Its Application in Stock Market (2005) (1)
An Axiomatic Framework for Interval Probability (1997) (1)
Open Giant Intelligent Information Systems and Its Multiagent-Oriented System Design (2003) (1)
A Multiple System Performance Monitoring Model for Web Services (2010) (1)
Mining small databases by collecting knowledge (2001) (1)
Methodologies of Solution Synthesis in Distributed Expert Systems (1996) (1)
Agent-Based Subspace Clustering (2011) (1)
Developing Actionable Trading Strategies for Trading Agents (2009) (1)
Agent-based risk learning for computing systems (2000) (1)
Interval Based Similarity for Function Classification of RNA Pseudoknots (2014) (1)
Indexing by conditional association semantics (2003) (1)
MahiNet: A Neural Network for Many-Class Few-Shot Learning with Class Hierarchy (2018) (0)
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks (2023) (0)
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning (2022) (0)
Assessing Data Mining Results on Matrices with Randomization (2010) (0)
SVM-OD: SVM Method to Detect Outliers (2006) (0)
Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning (2020) (0)
The IEEE International Conference on Data Mining (10th) Held in Sydney, Australia on 14-17 December 2010 (2010) (0)
Domain adaptation networks for noisy image classification Master Thesis (2017) (0)
Identifying Quality Knowledge (2004) (0)
Boosting for graph classification with universum (2016) (0)
Proceedings of the Second International Conference on Data Science - Volume 9208 (2015) (0)
Mining Actionable Knowledge on Capital Market Data (2010) (0)
Association Rules in Small Databases (2002) (0)
Mining inconsistent secure messages toward analyzing security protocols (2005) (0)
Call for Papers (2001) (0)
Semi-supervised Variational Multi-view Anomaly Detection (2021) (0)
THE EVOLUTION OF KDD: TOWARDS DOMAIN-DRIVEN (2007) (0)
Chapter 6 Data Mining Applications in Social Security (2008) (0)
Identifying Exceptional Patterns in Multi-Databases (2002) (0)
The application of Fuzzy Sets in finding the Best Stock-Rule Pairs (2004) (0)
Bioinformatics-Based Drug Discovery for Protein Kinases (2014) (0)
Against-Expectation Pattern Discovery: Identifying Interactions within Items with Large Relative-Contrasts in Databases (2010) (0)
Mining Very Large Databases Using Software Agents (2002) (0)
Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection (2021) (0)
Synthesizing Local Patterns by Weighting (2004) (0)
Causality in Databases (2002) (0)
Data Resources and Applications (2014) (0)
Association Rule Mining by Agents (2002) (0)
Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining (2005) (0)
WI 2008 Title Page iii (2008) (0)
Exploration of Positive Frequent Patterns for AMP-Activated Protein Kinase Regulation (2014) (0)
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection (2022) (0)
Mining Actionable Knowledge on Social Security Data (2010) (0)
WI'09/IAT'09 Joint Invited Talks WI-IAT 2009 Developing Actionable Trading Strategies for Trading Agents (2009) (0)
Association Rules in Very Large Databases (2002) (0)
IAT 2008 Title Page iii (2008) (0)
A Platform to Integrate well-log Information Application on heterogeneous Environments (2004) (0)
Dual Personalization on Federated Recommendation (2023) (0)
CIKM '15 Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (2015) (0)
Model Checking in Security Protocol Analysis (2008) (0)
Call for papers (1981) (0)
Conclusion and FutureWorks (2014) (0)
Detecting Collusion in Security protocols (2006) (0)
Open Issues and Prospects (2010) (0)
Dual influence embedded social recommendation (2017) (0)
84 ICMIA ' 02 International Conference Mining Very Large Databases Using Software Agents (2007) (0)
Mining bridging rules between conceptual clusters (2010) (0)
An Application of Fuzzy Cluster analysis to Matchmaking in Middle Agents (2002) (0)
Information-based cooperation in multiple agent systems: Extended summary (1999) (0)
Mobile Agents for Admitting New Students to Institutions of China (2000) (0)
Depth-First Search Encoding of RNA Substructures (2016) (0)
Mining Frequent Itemsets for Protein Kinase Regulation (2006) (0)
Automated Multiparty Authorization in Open Distributed Systems (2010) (0)
A model for compressing probabilities in belief networks (2001) (0)
Isomorphic Transformations of Uncertainties between the EMYCIN and PROSPECTOR Inexact Reasoning Models * (2001) (0)
Proceedings of the Second Pacific Rim International Workshop on Multi-Agents: Approaches to Intelligent Agents (1999) (0)
Multi-agent systems : methodologies and applications : Second Australian Workshop on Distributed Artificial Intelligence, Cairns, QLD, Australia, August 27, 1996 : selected papers (1997) (0)
Selected Papers from the 4th Australian Workshop on Distributed Artificial Intelligence, Multi-Agent Systems: Theories, Languages, and Applications (1998) (0)
The Design and Implementation of a Knowledge-based Communication System in a Framework for Distributed Expert Systems I Introduction (1996) (0)
An Algorithm for Plan Verification in Multiple Agent Systems (1997) (0)
Causal Rule Analysis (2002) (0)
2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology - Cover (2007) (0)
Approaches to Intelligence Agents (2002) (0)
Artificial Intelligence, AI'94: Sowing the Seeds for the Future: Proceedings of the 7th Australian Joint Conference on Artificial Intelligence: Armida (1994) (0)
Importance of Multi-database Mining (2004) (0)
4 Agent-Oriented Methodologies (2004) (0)
u TEMPORAL CONSTRAINT SATISFACTION IN MATRIX METHOD (2003) (0)
Exploring advanced control algorithm in thermal processing problems (2010) (0)
An agent-based framework for well-logging information management (2003) (0)
9 The Less the More (2004) (0)
Probabilistic Reasoning of Inconsistent Belief in Protocol Analysis (2007) (0)
An Enhanced Approach to Handle Missing Values in Heterogeneous Dataset (2014) (0)
WI-IAT Workshops 2008 Title Page iii (2008) (0)
Approaches to implementing decision aggregation in multi-agent systems (2001) (0)
Uncertainty Issues in Secure Messages (2008) (0)
Intelligent Strategies for Pathway Mining (2014) (0)
Appendix: Sample Source Codes of the Agent-Based Financial Planning System (2004) (0)
Investigations on solution synthesis in distributed expert systems (1997) (0)
D 3 M AKD Frameworks (2010) (0)
2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology - Title (2007) (0)
Horizontal cooperation under uncertainties in distributed expert systems (1999) (0)
Discovering Conserved and Diverged Patterns of MiRNA Families (2014) (0)
Proceedings of the First Australian Workshop on DAI: Distributed Artificial Intelligence: Architecture and Modelling (1995) (0)
Proceedings of the Third Pacific Rim International Workshop on Multi-Agents: Design and Applications of Intelligent Agents (2000) (0)
6 Matchmaking in Middle Agents (2004) (0)
Introduction to the Special Issue on Learning in Intelligent Algorithms and Systems Design (1999) (0)
Measuring the Uncertainty of Differences for Contrasting Groups (2007) (0)
Approaches to Intelligent Agents, Second Pacific Rim International Workshop on Multi-Agents, PRIMA '99, Kyoto, Japan, December 2-3, 1999, Proceedings (1999) (0)
Reasoning with Multimedia Information Using Symbolic Projection (2001) (0)
Initial Value Generation for Matchmaking in Middle Agents (2002) (0)
Formal Analysis of Secure Transaction Protocols (2008) (0)
Applications of Data Mining in Protocol Analysis (2008) (0)
Multi-agent systems : theories, languages, and applications : 4th Australian Workshop on Distributed Artificial Intelligence, Brisbane, Qld, Australia, July 13, 1998 : selected papers (1998) (0)
Agent-Based Hybrid Intelligent Systems - Preamble (2017) (0)
Proceedings of the Workshops on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence: Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications (1997) (0)
Senior Program Committee Members (2004) (0)
Revised Papers from the Second Australian Workshop on Distributed Artificial Intelligence: Multi-Agent Systems: Methodologies and Applications (1996) (0)
Vote for Nearest Neighbors Meta-Pruning of Self-Supervised Networks (2022) (0)
EAT-C: Environment-Adversarial sub-Task Curriculum for RL (2022) (0)
Does Continual Learning Equally Forget All Parameters? (2023) (0)

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