[PDF.84an] Managing and Mining Graph Data (Advances in Database Systems)

Managing and Mining Graph Data (Advances in Database Systems)

[PDF.cf18] Managing and Mining Graph Data (Advances in Database Systems)

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 | #1835385 in Books |  Springer |  2010-02-19 | Original language:English | PDF # 1 |  9.21 x1.38 x6.14l,2.34 | File type: PDF | 600 pages

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||5 of 6 people found the following review helpful.| Great introduction to R and Data Mining|By asenski|I recently completed the free online machine learning class by professor Andrew Ng and became a lot more interested in the field. The class was done in Octave (which is an open source language close to MatLab). However I was curious what R was capable of doing and wanted to find a book that would make the analogies easier for m| ||From the reviews:“This book provides a survey of some recent advances in graph mining. It contains chapters on graph languages, indexing, clustering, pattern mining, keyword search, and pattern matching. … The book is targeted at advanced undergr

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of 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 we...

You easily download any file type for your device.Managing and Mining Graph Data (Advances in Database Systems)   |  From Brand: Springer. I really enjoyed this book and have already told so many people about it!

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