TDMCS: An Efficient Method for Mining Closed

Meng Han, Jian Ding, and Juan Li School of Computer Science and Engineering, North Minzu University, China

#data stream mining # frequent pattern mining # closed pattern mining # time decay model # sliding window # concept drift

Online Approach to Handle Concept Drifting Data Streams using Diversity

Abstract: Concept drift is the trend observed in almost all real time applications. Many online and offline algorithms were

#Online learning # ensemble # concept drift # data streams # diversity

PatHT: An Efficient Method of Classification over Evolving Data Streams

Meng Han, Jian Ding, and Juan Li School of Computer Science and Engineering, North Minzu University, China

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Tracking Recurring Concepts from Evolving Data Streams using Ensemble Method

Yange Sun1,2, Zhihai Wang2, Jidong Yuan2, and Wei Zhang2 1School of Computer and Information Technology, Xinyang Normal University, China 2School of Computer and Information Technology, Beijing Jiaotong University, China

#Data streams # ensemble classification # change detection # recurring concept # Jensen-Shannon divergence

Mining Recent Maximal Frequent Itemsets Over

Data Streams with Sliding Window

#Data streams # recent maximal frequent itemsets # sliding window # matrix structure

Tree Based Fast Similarity Query Search Indexing on Outsourced Cloud Data Streams

Balamurugan Balasubramanian1, Kamalraj Durai1, Jegadeeswari Sathyanarayanan1, and Sugumaran

#Cloud # hybrid tree # fast similarity query # e-tree # r+ tree

Improved Streaming Quotient Filter: A Duplicate Detection Approach for Data Streams

Shiwei Che, Wu Yang, and Wei Wang

#Bloom filters # Computer Network # Data stream # Duplicate detection # False positive rates

Privacy-Preserving for Distributed Data Streams: Towards l-Diversity

Mona Mohamed, Sahar Ghanem, and Magdy Nagi

#k-anonymity # l-diversity # data streams and clustering

Data Streams Oriented Outlier Detection Method: A Fast Minimal Infrequent Pattern Mining

ZhongYu Zhou and DeChang Pi

#Data streams # binary search # minimal infrequent pattern # outlier detection # pattern mining

Heterogeneous Feature Analysis on Twitter Data Set for Identification of Spam Messages

Valliyammai Chinnaiah,Cinu C Kiliroor

#Spam filter #random forest #heterogeneous feature analysis #online social network

Ensemble based on Accuracy and Diversity Weighting for Evolving Data Streams

Yange Sun,Han Shao,Bencai Zhang

#Ensemble learning #concept drift #accuracy #diversity