Synthesis Lectures on Data Mining and Knowledge Discovery

Synthesis Lectures on Data Mining and Knowledge Discovery

Morgan & Claypool Publishers

Editors
Jiawei Han, University of Illinois at Urbana-Champaign
Lise Getoor, University of California Santa Cruz
Wei WangUniversity of North Carolina, Chapel Hill
Johannes Gehrke, Cornell University
Robert Grossman, University of Chicago

Synthesis Lectures on Data Mining and Knowledge Discovery is edited by Jiawei Han, Lise Getoor, Wei Wang, Johannes Gehrke, and Robert Grossman. 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.  Potential topics include:  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.

Series ISSNs: 2151-0067 (print) and 2151-0075 (electronic)

Lectures available online

-What is RSS? Exploratory Causal Analysis with Time Series Data  James M. McCracken March 2016

Abstract | PDF (2176 KB) | PDF Plus (2305 KB)

– Mining Human Mobility in Location-Based Social Networks  Huiji Gao Huan Liu  April 2015

Abstract | PDF (3241 KB) | PDF Plus (2577 KB)

– Mining Latent Entity Structures  Chi Wang Jiawei Han  March 2015

Abstract | PDF (4239 KB) | PDF Plus (4240 KB) | Supplementary Material

– Probabilistic Approaches to Recommendations  Nicola BarbieriGiuseppe MancoEttore Ritacco May 2014

Abstract | PDF (17656 KB) | PDF Plus (6480 KB) | Supplementary Material

– Outlier Detection for Temporal Data Manish GuptaJing GaoCharu AggarwalJiawei Han March 2014

Abstract | PDF (9859 KB) | PDF Plus (3504 KB) | Supplementary Material

– Provenance Data in Social Media  Geoffrey Barbier Zhuo Feng Pritam Gundecha Huan Liu  May 2013

Abstract | PDF (2919 KB) | PDF Plus (2637 KB) | Supplementary Material

-Graph Mining: Laws, Tools, and Case Studies ChakrabartiC. Faloutsos October 2012

Abstract | PDF (4543 KB) | PDF Plus (3569 KB) 

– Mining Heterogeneous Information Networks: Principles and Methodologies Yizhou SunJiawei Han July 2012

Abstract | PDF (2413 KB) | PDF Plus (2326 KB)

-Privacy in Social Networks Elena ZhelevaEvimaria TerziLise Getoor March 2012

Abstract | PDF (2701 KB) | PDF Plus (1025 KB)

– Community Detection and Mining in Social Media Lei TangHuan Liu 2010

Abstract | PDF (1657 KB) | PDF Plus (1699 KB)

– Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions  Giovanni SeniJohn F. Elder 2010

Abstract | PDF (2688 KB) | PDF Plus (2639 KB)

-Modeling and Data Mining in Blogosphere  Nitin Agarwal Huan Liu  2009

Abstract | PDF (2537 KB) | PDF Plus (2312 KB)

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