Peng Zhang

According to our database1, Peng Zhang
  • authored at least 71 papers between 2008 and 2017.
  • has a "Dijkstra number"2 of four.

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Bibliography

2017
Incremental Subgraph Feature Selection for Graph Classification.
IEEE Trans. Knowl. Data Eng., 2017

Collective Hyping Detection System for Identifying Online Spam Activities.
IEEE Intelligent Systems, 2017

2016
Towards Anomalous Diffusion Sources Detection in a Large Network.
ACM Trans. Internet Techn., 2016

Online Learning from Trapezoidal Data Streams.
IEEE Trans. Knowl. Data Eng., 2016

SODE: Self-Adaptive One-Dependence Estimators for classification.
Pattern Recognition, 2016

Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization.
IEEE Trans. Knowl. Data Eng., 2015

E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams.
IEEE Trans. Knowl. Data Eng., 2015

Modelling semantics across multiple time series and its applications.
Knowl.-Based Syst., 2015

Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach.
J. Comput. Science, 2015

Self-adaptive attribute weighting for Naive Bayes classification.
Expert Syst. Appl., 2015

Topic-aware Source Locating in Social Networks.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Online Event Recommendation for Event-based Social Networks.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Fast Search for Distance Dependent Chinese Restaurant Processes.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Online diffusion source detection in social networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Towards Mining Trapezoidal Data Streams.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Defragging Subgraph Features for Graph Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams.
Proceedings of the Databases Theory and Applications, 2015

2014
Maximizing the long-term integral influence in social networks under the voter model.
Proceedings of the 23rd International World Wide Web Conference, 2014

An upper bound based greedy algorithm for mining top-k influential nodes in social networks.
Proceedings of the 23rd International World Wide Web Conference, 2014

Combining geographical information of users and content of items for accurate rating prediction.
Proceedings of the 23rd International World Wide Web Conference, 2014

Joint Optimization of Power and Filter-and-Forward Beamforming in Cognitive Networks with Frequency Selective Channels.
Proceedings of the IEEE 79th Vehicular Technology Conference, 2014

Cooperative Beamforming in Cognitive Radio Network with Two-Way Relay.
Proceedings of the IEEE 79th Vehicular Technology Conference, 2014

Forward Classification on Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

On the Frequency Distribution of Retweets.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Maximizing the Cumulative Influence through a Social Network when Repeat Activation Exists.
Proceedings of the International Conference on Computational Science, 2014

Discovering Multiple Diffusion Source Nodes in Social Networks.
Proceedings of the International Conference on Computational Science, 2014

A Multi-layer Event Detection Algorithm for Detecting Global and Local Hot Events in Social Networks.
Proceedings of the International Conference on Computational Science, 2014

Improving Collaborative Recommendation via Location-based User-item Subgroup.
Proceedings of the International Conference on Computational Science, 2014

Mining Large-scale Event Knowledge from Web Text.
Proceedings of the International Conference on Computational Science, 2014

Event Recommendation in Event-Based Social Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Combining Heterogenous Social and Geographical Information for Event Recommendation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

A Security Framework for Cloud-Based Web Crawling System.
Proceedings of the 11th Web Information System and Application Conference, 2014

2013
Discovering Semantics from Multiple Correlated Time Series Stream.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Detecting Sybil Nodes in Anonymous Communication Systems.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Mining Explainable User Interests from Scalable User Behavior Data.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Behavioral targeting with social regularization.
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

An Optimized Strategy for Data Service Response with Template-Based Caching and Compression.
Proceedings of the Service-Oriented Computing - ICSOC 2013 Workshops, 2013

UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Item-Based Top-k Influential User Discovery in Social Networks.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction.
Proceedings of the International Conference on Computational Science, 2013

Personalized influence maximization on social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Parallel auto-encoder for efficient outlier detection.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

2012
Mining Hot Topics from Twitter Streams.
Proceedings of the International Conference on Computational Science, 2012

A framework for application-driven classification of data streams.
Neurocomputing, 2012

Mining Multi-Label Data Streams Using Ensemble-Based Active Learning.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Efficient Behavior Targeting Using SVM Ensemble Indexing.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model.
IJDWM, 2011

Robust ensemble learning for mining noisy data streams.
Decision Support Systems, 2011

Enabling fast prediction for ensemble models on data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Enabling Fast Lazy Learning for Data Streams.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Continuous data stream query in the cloud.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Mining frequent patterns across multiple data streams.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Multiple criteria programming models for VIP E-Mail behavior analysis.
Web Intelligence and Agent Systems, 2010

Active Learning From Stream Data Using Optimal Weight Classifier Ensemble.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

Knowledge extraction from multiple criteria linear programming classification approach.
Proceedings of the International Conference on Computational Science, 2010

Learning from Multiple Related Data Streams with Asynchronous Flowing Speeds.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams.
Proceedings of the ICDM 2010, 2010

A New Weighted Ensemble Model for Detecting DoS Attack Streams.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

SKIF: a data imputation framework for concept drifting data streams.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Several multi-criteria programming methods for classification.
Computers & OR, 2009

Regularized multiple criteria linear programs for classification.
Science in China Series F: Information Sciences, 2009

Mining Data Streams with Labeled and Unlabeled Training Examples.
Proceedings of the ICDM 2009, 2009

A New Classification Method for PCA-Based Face Recognition.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

Transfer Knowledge via Relational K-Means Method.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

A New Research Field: Intelligent Knowledge Management.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

2008
DEA-Based Comprehensive Evaluation of Intelligent Knowledge.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008


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