Synthesis Lectures on Data
Mining and Knowledge
Discovery
Editor
Jiawei Han, University of Illinois at Urbana-Champaign
Lise Getoor, University of Maryland
Wei Wang, University of North Carolina, Chapel Hill
Johannes Gehrke, Cornell University
Robert Grossman, University of Illinois, Chicago
Synthesis Lectures on Data Mining and Knowledge Discovery is edited by Jiawei Han, Lise Getoor,
Wei Wang, and Johannes Gehrke. The series publishes 50- to 150-page publications on topics
pertaining to data mining, web mining, text mining, and knowledge discovery, including tutorials and
case studies. The scope will largely follow the purview of premier computer science conferences, such as
KDD. Potential topics include, but not limited to, data mining algorithms, innovative data mining
applications, data mining systems, mining text, web and semi-structured data, high performance and
parallel/distributed data mining, data mining standards, data mining and knowledge discovery
framework and process, data mining foundations, mining data streams and sensor data, mining
multi-media data, mining social networks and graph data, mining spatial and temporal data,
pre-processing and post-processing in data mining, robust and scalable statistical methods, security,
privacy, and adversarial data mining, visual data mining, visual analytics, and data visualization.
Community Detection and Mining in Social Media
Lei Tang and Huan Liu
2010
Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions
Giovanni Seni and John F. Elder
2010
Modeling and Data Mining in Blogosphere
Nitin Agarwal and Huan Liu
2009
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