Managing and Mining Graph Data (Advances in Database Systems)
From Brand: Springer
[PDF.sn94] Managing and Mining Graph Data (Advances in Database Systems) Rating: 4.97 (500 Votes)
Managing and Mining Graph From Brand: Springer epub Managing and Mining Graph From Brand: Springer pdf download Managing and Mining Graph From Brand: Springer pdf file Managing and Mining Graph From Brand: Springer audiobook Managing and Mining Graph From Brand: Springer book review Managing and Mining Graph From Brand: Springer summary | #2797172 in Books | Springer | 2010-02-19 | Original language:English | PDF # 1 | 9.21 x1.38 x6.14l,2.34 | File type: PDF | 600 pages | ||1 of 1 people found the following review helpful.| Another good book in R for data mining|By William M. Ampeh|I ordered Torgo's book in addition to a second on data mining and both provided good reading materials for my data mining project. This is an easy book to read and the cases are practical to follow. Waiting for the next release.|5 of 6 people found the following review helpful.| Great introd|||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. Which are the reasons I like to read books. Great story by a great author.
