Graph Mining

Graph Mining: Laws, Tools, and Case Studies  

Posted by interes at Sept. 2, 2015
Graph Mining: Laws, Tools, and Case Studies

Graph Mining: Laws, Tools, and Case Studies (Synthesis Lectures on Data Mining and Knowledge Discovery) by Deepayan Chakrabarti and Christos Faloutsos
English | 2012 | ISBN: 1608451151 | pages | PDF | MB

Practical Graph Mining with R  

Posted by nebulae at May 9, 2015
Practical Graph Mining with R

Nagiza F. Samatova and William Hendrix, "Practical Graph Mining with R"
English | ISBN: 143986084X | 2013 | 495 pages | PDF | 23 MB

Mining Graph Data (repost)  

Posted by interes at July 6, 2013
Mining Graph Data (repost)

Mining Graph Data by Diane J. Cook
English | 1 edition (November 28, 2006) | ISBN: 0471731900 | Pages: 500 | PDF | 7 MB

This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided.
Managing and Mining Graph Data (Advances in Database Systems) (repost)

Charu C. Aggarwal, Haixun Wang - Managing and Mining Graph Data (Advances in Database Systems)
English | 2010-03-01 | ISBN: 1441960449 | PDF | 610 pages | 102 MB

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing.

Advances in Knowledge Discovery and Data Mining  eBooks & eLearning

Posted by tanas.olesya at July 3, 2016
Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining (Lecture Notes in Computer Science) by Vincent S. Tseng
English | 21 May 2014 | ISBN: 3319066048 | 652 Pages | PDF | 16 MB

They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering;…

Advances in Knowledge Discovery and Data Mining  eBooks & eLearning

Posted by tanas.olesya at June 25, 2016
Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining (Lecture Notes in Computer Science) by Vincent S. Tseng
English | 23 May 2014 | ISBN: 3319066072 | 652 Pages | PDF | 23 MB

They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering;…
Graph-Based Social Media Analysis (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Graph-Based Social Media Analysis (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by Ioannis Pitas
English | Dec. 22, 2015 | ISBN: 149871904X | 442 Pages | PDF (True) | 25.65 MB

Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media.

Mining Graph Data (repost)  

Posted by libr at Dec. 23, 2015
Mining Graph Data (repost)

Mining Graph Data by Diane J. Cook
English | November 28, 2006 | ISBN: 0471731900 | Pages: 500 | PDF | 7 MB

Practical Graph Analytics with Apache Giraph  

Posted by Underaglassmoon at Dec. 22, 2015
Practical Graph Analytics with Apache Giraph

Practical Graph Analytics with Apache Giraph
Apress | Computer Science | October 29, 2015 | ISBN-10: 1484212525 | 315 pages | pdf | 8.54 mb

by Roman Shaposhnik (Author), Claudio Martella (Author), Dionysios Logothetis (Author)
Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to derive business value from vast amounts of interconnected data points
Survey of Text Mining: Clustering, Classification, and Retrieval by Michael W. Berry

Survey of Text Mining: Clustering, Classification, and Retrieval by Michael W. Berry
English | Sep 9, 2003 | ISBN: 0387955631 | 262 Pages | PDF | 5 MB

Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory.