Shichaozhangand Chengqi Zhang
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Computer Science
Why Is Shichaozhangand Chengqi Zhang Influential?
(Suggest an Edit or Addition)Shichaozhangand 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
- Efficient kNN Classification With Different Numbers of Nearest Neighbors (2018) (655)
- Efficient mining of both positive and negative association rules (2004) (503)
- Association Rule Mining: Models and Algorithms (2002) (445)
- Learning k for kNN Classification (2017) (355)
- Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection (2017) (303)
- Decision trees with minimal costs (2004) (300)
- Block-Row Sparse Multiview Multilabel Learning for Image Classification (2016) (284)
- Data preparation for data mining (2003) (272)
- Missing Value Estimation for Mixed-Attribute Data Sets (2011) (263)
- Association Rule Mining (2002) (235)
- "Missing is useful": missing values in cost-sensitive decision trees (2005) (225)
- Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support (2009) (220)
- Efficient kNN classification algorithm for big data (2016) (219)
- Synthesizing High-Frequency Rules from Different Data Sources (2003) (199)
- Graph PCA Hashing for Similarity Search (2017) (181)
- Robust Image Hashing With Ring Partition and Invariant Vector Distance (2016) (169)
- Robust Perceptual Image Hashing Based on Ring Partition and NMF (2014) (166)
- Mining Both Positive and Negative Association Rules (2002) (159)
- Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection (2018) (152)
- Low-Rank Sparse Subspace for Spectral Clustering (2019) (149)
- Graph self-representation method for unsupervised feature selection (2017) (144)
- One-Step Multi-View Spectral Clustering (2019) (137)
- Database classification for multi-database mining (2005) (136)
- Shell-neighbor method and its application in missing data imputation (2011) (130)
- Semi-parametric optimization for missing data imputation (2007) (127)
- Missing Value Imputation Based on Data Clustering (2008) (115)
- A novel kNN algorithm with data-driven k parameter computation (2017) (106)
- AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Proceedings (2005) (105)
- Missing data imputation by utilizing information within incomplete instances (2011) (86)
- Noisy data elimination using mutual k-nearest neighbor for classification mining (2012) (84)
- Multi-Database Mining (2003) (78)
- Spectral clustering via half-quadratic optimization (2019) (75)
- Cost-sensitive KNN classification (2020) (73)
- Clinical patterns of obstructive sleep apnea and its comorbid conditions: a data mining approach. (2008) (72)
- Parimputation: From Imputation and Null-Imputation to Partially Imputation (2008) (69)
- Generalized dimension-reduction framework for recent-biased time series analysis (2006) (68)
- Robust Image Hashing with Tensor Decomposition (2019) (68)
- POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases (2009) (65)
- Multimodal learning for topic sentiment analysis in microblogging (2017) (65)
- Efficient Utilization of Missing Data in Cost-Sensitive Learning (2019) (63)
- kNN Algorithm with Data-Driven k Value (2014) (62)
- Identifying interesting visitors through Web log classification (2005) (60)
- Post-mining: maintenance of association rules by weighting (2003) (57)
- Knowledge Engineering with Big Data (2015) (56)
- Clustering-based Missing Value Imputation for Data Preprocessing (2006) (55)
- GBKII: An Imputation Method for Missing Values (2007) (53)
- Fundamentals of association rules in data mining and knowledge discovery (2011) (53)
- Feature selection using hierarchical feature clustering (2011) (52)
- Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning (2022) (52)
- Efficient Outlier Detection for High-Dimensional Data (2018) (51)
- Mining Multiple Data Sources: Local Pattern Analysis (2006) (48)
- Identifying Global Exceptional Patterns in Multi-database Mining (2004) (45)
- Handling over-fitting in test cost-sensitive decision tree learning by feature selection, smoothing and pruning (2010) (44)
- Computing the minimum-support for mining frequent patterns (2008) (44)
- A logical framework for identifying quality knowledge from different data sources (2006) (42)
- Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis (2021) (40)
- Product hierarchy-based customer profiles for electronic commerce recommendation (2002) (40)
- Learning Instance Correlation Functions for Multilabel Classification (2017) (40)
- Efficient missing data imputation for supervised learning (2010) (39)
- Cost-sensitive classification with inadequate labeled data (2012) (37)
- ARMGA: IDENTIFYING INTERESTING ASSOCIATION RULES WITH GENETIC ALGORITHMS (2005) (37)
- MLSLR: Multilabel Learning via Sparse Logistic Regression (2014) (37)
- Cost-sensitive classification with respect to waiting cost (2010) (36)
- Cost-Sensitive Test Strategies (2006) (35)
- A NEW SUPERVISED FEATURE SELECTION METHOD FOR PATTERN CLASSIFICATION (2014) (35)
- Cost-Sensitive Classification with k-Nearest Neighbors (2013) (35)
- Foreword to the special issue on recent advances on pattern recognition and artificial intelligence (2017) (34)
- Overlapping Community Detection for Multimedia Social Networks (2017) (34)
- Cost-Sensitive Decision Trees with Multiple Cost Scales (2004) (32)
- EDUA: An efficient algorithm for dynamic database mining (2007) (32)
- A New Classification Algorithm Using Mutual Nearest Neighbors (2010) (30)
- A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules (2004) (29)
- Optimized Parameters for Missing Data Imputation (2006) (28)
- Identifying Approximate Itemsets of Interest in Large Databases (2004) (28)
- Efficient Frequent Itemsets Mining by Sampling (2006) (28)
- An agent-based hybrid framework for database mining (2003) (28)
- Adaptive Hypergraph Learning for Unsupervised Feature Selection (2017) (27)
- Cooperative strategy for web data mining and cleaning (2003) (27)
- Feature Selection by Joint Graph Sparse Coding (2013) (26)
- Image hashing with color vector angle (2018) (26)
- Cost-Sensitive Imputing Missing Values with Ordering (2007) (25)
- Information enhancement for data mining (2011) (25)
- TDHPPIR: An Efficient Deep Hashing Based Privacy-Preserving Image Retrieval Method (2020) (25)
- Propagating temporal relations of intervals by matrix (2002) (24)
- Mining globally interesting patterns from multiple databases using kernel estimation (2009) (24)
- HCMSL: Hybrid Cross-modal Similarity Learning for Cross-modal Retrieval (2021) (22)
- Penalized partial least square discriminant analysis with l1 for multi-label data (2015) (22)
- PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification (2019) (22)
- Aggregation and maintenance for database mining (1999) (22)
- Neighbor selection for multilabel classification (2016) (22)
- A Strategy for Attributes Selection in Cost-Sensitive Decision Trees Induction (2008) (22)
- Cost Sensitive Classification in Data Mining (2010) (21)
- Self-representation nearest neighbor search for classification (2016) (21)
- Feature selection by combining subspace learning with sparse representation (2017) (21)
- Guest Editors' Introduction: Information Enhancement for Data Mining (2004) (21)
- A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases (2005) (21)
- Harmonious Genetic Clustering (2018) (20)
- An efficient strategy for mining exceptions in multi-databases (2004) (20)
- A Verification Model for Electronic Transaction Protocols (2004) (20)
- Perceptual Image Hashing with Histogram of Color Vector Angles (2012) (20)
- Efficient kNN Algorithm Based on Graph Sparse Reconstruction (2014) (20)
- Empirical likelihood confidence intervals for differences between two datasets with missing data (2008) (20)
- Challenges in KNN Classification (2021) (19)
- Toward databases mining: Pre-processing collected data (2003) (18)
- Enhancing grid-density based clustering for high dimensional data (2011) (18)
- Self-weighted Multi-view Fuzzy Clustering (2020) (17)
- Large scale data mining based on data partitioning (2001) (17)
- Editorial: Special issue on mining low-quality data (2007) (17)
- Efficient Attribute Reduction Based on Discernibility Matrix (2007) (17)
- A Recent-Biased Dimension Reduction Technique for Time Series Data (2005) (16)
- Anytime mining for multiuser applications (2002) (15)
- Multi-view multi-sparsity kernel reconstruction for multi-class image classification (2015) (15)
- Discovering Interesting Association Rules by Clustering (2004) (14)
- Penalized Partial Least Square Discriminant Analysis with ` 1-norm for Multi-label Data (2010) (14)
- One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace (2017) (14)
- Unsupervised feature selection by combining subspace learning with feature self-representation (2017) (14)
- Discovering causality in large databases (2002) (14)
- Unsupervised feature selection for visual classification via feature-representation property (2017) (14)
- Anomaly Detection With Representative Neighbors. (2021) (14)
- Knowledge discovery in multi-databases by analyzing local instances (2002) (13)
- Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis (2010) (13)
- Supervised feature selection algorithm via discriminative ridge regression (2018) (13)
- Multiple-scale cost sensitive decision tree learning (2018) (13)
- Missing or absent? A Question in Cost-sensitive Decision Tree (2006) (12)
- Graph-Based Stock Recommendation by Time-Aware Relational Attention Network (2021) (12)
- Identifying bridging rules between conceptual clusters (2006) (12)
- Multi-Graph Based Hierarchical Semantic Fusion for Cross-Modal Representation (2021) (12)
- Clustering web documents using hierarchical representation with multi-granularity (2012) (12)
- Estimating Semi-Parametric Missing Values with Iterative Imputation (2010) (12)
- Spectral clustering based on hypergraph and self-re-presentation (2017) (11)
- Robust Feature Selection on Incomplete Data (2018) (11)
- Mutual kNN based spectral clustering (2018) (11)
- Robust Graph Dimensionality Reduction (2018) (11)
- Cost-sensitive semi-supervised classification using CS-EM (2008) (11)
- Acquiring knowledge from inconsistent data sources through weighting (2010) (11)
- Identifying Follow-Correlation Itemset-Pairs (2006) (10)
- Cost-Time Sensitive Decision Tree with Missing Values (2007) (10)
- A multi-label classification algorithm based on label-specific features (2011) (10)
- Mining class-bridge rules based on rough sets (2009) (10)
- Adaptive Hashing With Sparse Matrix Factorization (2019) (10)
- Mining Term Association Rules for Heuristic Query Construction (2004) (9)
- KNN Classification With One-Step Computation (2020) (9)
- Missing Data Analysis: A Kernel-Based Multi-Imputation Approach (2009) (9)
- Estimating itemsets of interest by sampling (2001) (9)
- Unsupervised nonlinear feature selection algorithm via kernel function (2018) (9)
- Sparse sample self-representation for subspace clustering (2016) (9)
- Rule-based dependency models for security protocol analysis (2008) (8)
- A Database-Independent Approach of Mining Association Rules with Genetic Algorithm (2003) (8)
- A Logical Framework for Knowledge Sharing in Multi-agent Systems (2001) (8)
- A decremental algorithm of frequent itemset maintenance for mining updated databases (2009) (8)
- ENDL: A Logical Framework for Verifying Secure Transaction Protocols (2003) (8)
- Overview of Security Protocol Analysis (2008) (8)
- A Probability Data Model and its Semantics (2003) (8)
- A Probabilistic Data Model and Its Semantics (2004) (8)
- Mining follow-up correlation patterns from time-related databases (2007) (8)
- Database clustering for mining multi-databases (2002) (7)
- Difference Detection Between Two Contrast Sets (2006) (7)
- ON DATA STRUCTURES FOR ASSOCIATION RULE DISCOVERY (2007) (7)
- Collecting Quality Data for Database Mining (2001) (7)
- Mining bridging rules between conceptual clusters (2010) (6)
- Anomaly Detection With Kernel Preserving Embedding (2021) (6)
- Mining Dynamic databases by Weighting (2003) (6)
- Detecting Differences Between Contrast Groups (2008) (6)
- Group Pattern Discovery Systems for Multiple Data Sources (2005) (6)
- CONFIDENCE METRICS FOR ASSOCIATION RULE MINING (2009) (6)
- Detecting Collusion Attacks in Security Protocols (2006) (6)
- A nearest neighborhood algebra for probabilistic databases (2000) (5)
- Incorporating medical history to cost sensitive classification with lazy learning strategy (2010) (5)
- Identifying Software Component Association With Genetic Algorithm (2004) (5)
- Low-rank unsupervised graph feature selection via feature self-representation (2017) (5)
- Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data (2006) (4)
- Data Mining and Multi-database Mining (2004) (4)
- Data Hiding Method Based on Local Image Features (2012) (4)
- Efficient subspace clustering based on self-representation and grouping effect (2016) (4)
- Bi-directional double auction for financial market simulation (2013) (4)
- Low-rank feature selection for multi-view regression (2017) (4)
- Dynamic Test-Sensitive Decision Trees with Multiple Cost Scales (2005) (4)
- Query languages for 1NF temporal databases (1997) (4)
- Discovering Network Community Based on Multi-Objective Optimization: Discovering Network Community Based on Multi-Objective Optimization (2014) (4)
- Secure Transaction Protocol Analysis: Models and Applications (2008) (4)
- Summary queries for frequent itemsets mining (2010) (4)
- M2GUDA: Multi-Metrics Graph-Based Unsupervised Domain Adaptation for Cross-Modal Hashing (2021) (4)
- Adapting K-Means Algorithm for Discovering Clusters in Subspaces (2006) (4)
- Mining Item Popularity for Recommender Systems (2013) (3)
- Dealing with Inconsistent Secure Messages (2004) (3)
- MINING DEPENDENT PATTERNS IN PROBABILISTIC DATABASES (2004) (3)
- Clustering Web Documents Based on Knowledge Granularity (2006) (3)
- Kernel-Based Multi-Imputation for Missing Data (2006) (3)
- Data Partitioning View of Mining Big Data (2016) (3)
- A time framework for temporal databases (1997) (3)
- Estimating confidence intervals for structural differences between contrast groups with missing data (2009) (3)
- Unsupervised Feature Selection via Local Structure Learning and Self-Representation (2017) (3)
- Identifying Interesting Patterns in Multidatabases (2005) (3)
- Negative Association Rule (2002) (3)
- The Optimization and Improvement of MapReduce in Web Data Mining (2015) (3)
- Noise Removal in Embedded Image With Bit Approximation (2022) (2)
- Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning (2017) (2)
- Sequential Pattern Learning via Kernel Alignment (2019) (2)
- Memory Performance Prediction of Web Server Applications Based on Grey System Theory (2012) (2)
- Evaluation of Error-Sensitive Attributes (2013) (2)
- IJDWM Special Issue: Advances in Data Mining Applications (2006) (2)
- Mixed-Norm Regression for Visual Classification (2013) (2)
- Hyper-Class Representation of Data (2022) (2)
- Temporal constraint satisfaction in matrix method (2003) (2)
- Efficient Mining of Both Positive and (2004) (2)
- Identifying High-vote Patterns (2004) (2)
- Discovery of Tampered Image with Robust Hashing (2014) (2)
- Leverage triple relational structures via low-rank feature reduction for multi-output regression (2017) (2)
- Identifying Exceptional Patterns (2004) (2)
- Pattern Discovery in Probabilistic Databases (2001) (2)
- IMC: A Method for Interval Calculus in Matrix (1999) (2)
- Discovering Associations in Very Large Databases by Approximating (2003) (2)
- NIIA: Nonparametric Iterative Imputation Algorithm (2008) (2)
- Detection Models of Collusion Attacks (2008) (2)
- A Temporal Logic for Supporting Historical Databases (2000) (2)
- A Partial-Repeatability Approach to Data Mining (2005) (2)
- Distributed Frequent Closed Itemsets Mining (2007) (2)
- Identifying frequent terms in text databases by association semantics (2003) (2)
- Verifying the Purchase Request in SET Protocol (2003) (2)
- Mining small databases by collecting knowledge (2001) (1)
- Outlier Detection via Kernel Preserving Embedding and Random Walk (2020) (1)
- Identifying Dependency Between Secure Messages for Protocol Analysis (2007) (1)
- Is Frequency Enough for Decision Makers to Make Decisions? (2006) (1)
- Unsupervised Spectral Feature Selection with Local Structure Learning (2017) (1)
- Self-paced hybrid dilated convolutional neural networks (2020) (1)
- u DATA PREPARATION FOR DATA MINING (2003) (1)
- A Database-Independent Strategy for Confidence Determination (2003) (1)
- Encoding probability propagation in belief networks (2002) (1)
- A framework for merging inconsistent beliefs in security protocol analysis (2005) (1)
- One-step spectral rotation clustering with balanced constrains (2021) (1)
- Dealing with Inconsistency (2004) (1)
- In-Depth Data Mining and Its Application in Stock Market (2005) (1)
- Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints (2016) (1)
- Dealing with inconsistent secure messages by weighting majority (2011) (1)
- Strategies for complex data cube queries (2009) (1)
- Local Pattern Analysis (2004) (1)
- Verifying the Payment Authorization in SET Protocol (2003) (1)
- Mind the Trends When You Mine: Incremental Data Mining (2002) (1)
- Low-Rank Feature Reduction and Sample Selection for Multi-output Regression (2016) (1)
- Secure Transaction Protocol Analysis (2009) (1)
- Sparse Graph Connectivity for Image Segmentation (2020) (0)
- Web User Browse Behavior Characteristic Analysis Based on a BC Tree (2010) (0)
- Applications of Data Mining in Protocol Analysis (2008) (0)
- Model Checking in Security Protocol Analysis (2008) (0)
- Missing Values with iterative imputation (2019) (0)
- A model for compressing probabilities in belief networks (2001) (0)
- Association Rule Mining by Agents (2002) (0)
- Association Rules in Very Large Databases (2002) (0)
- Mining Very Large Databases Using Software Agents (2002) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Low-rank sparse subspace for spectral clustering Low-rank sparse subspace for spectral clustering (2020) (0)
- Is Minimum-Support Appropriate to Identifying Large Itemsets? (2004) (0)
- Synthesizing Local Patterns by Weighting (2004) (0)
- Generating a Comprehensive Disease Pattern of Obstructive Sleep Apnea: A Data Mining Approach (2007) (0)
- Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Nanning, China, November 9-11, 2018, Proceedings (2018) (0)
- M2GUDA (2021) (0)
- Uncertainty Issues in Secure Messages (2008) (0)
- Identifying Exceptional Patterns in Multi-Databases (2002) (0)
- 84 ICMIA ' 02 International Conference Mining Very Large Databases Using Software Agents (2007) (0)
- Author ’ s Accepted Manuscript Efficient k NN Classification Algorithm for Big Data (2016) (0)
- Classifying Incomplete Data Using Group Difference Detection with Parimputation Approach (2012) (0)
- Association Rules in Small Databases (2002) (0)
- Editorial deep multi-source data analysis (2021) (0)
- Efficient Computation of Multi-feature Data Cubes (2006) (0)
- CIBuilder : A System Prototype for Building Confidence Intervals for Group Differences ( demonstration proposal ) (2006) (0)
- Multiple-scale cost sensitive decision tree learning (2018) (0)
- An Enhanced Approach to Handle Missing Values in Heterogeneous Dataset (2014) (0)
- Mining bridging rules between conceptual clusters (2010) (0)
- Identifying Quality Knowledge (2004) (0)
- Editorial Note: Multi-Task Learning (2018) (0)
- Supervised Feature Selection by Robust Sparse Reduced-Rank Regression (2016) (0)
- A New Multi-label Learning Algorithm Using Shelly Neighbors (2012) (0)
- Unsupervised Feature Selection Algorithm via Local Structure Learning and Kernel Function (2018) (0)
- Mining inconsistent secure messages toward analyzing security protocols (2005) (0)
- Hypergraph Spectral Clustering via Sample Self-Representation (2016) (0)
- Measuring the Uncertainty of Differences for Contrasting Groups (2007) (0)
- Z Distance Function for KNN Classification (2021) (0)
- Formal Analysis of Secure Transaction Protocols (2008) (0)
- Weighting imputation methods and their evaluation under shell-neighbor machine (2010) (0)
- Importance of Multi-database Mining (2004) (0)
- Aggregation of Association Rules (1999) (0)
- Applied Artificial Intelligence an International Journal on Data Structures for Association Rule Discovery (2007) (0)
- Costsensitive Semisupervised Classification using CSEM (2008) (0)
- Causal Rule Analysis (2002) (0)
- Causality in Databases (2002) (0)
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