Managing and Mining Graph Data

Managing and Mining Graph Data
Author :
Publisher : Springer Science & Business Media
Total Pages : 623
Release :
ISBN-10 : 9781441960450
ISBN-13 : 1441960457
Rating : 4/5 (50 Downloads)

Book Synopsis Managing and Mining Graph Data by : Charu C. Aggarwal

Download or read book Managing and Mining Graph Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2010-02-02 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science and engineering.


Managing and Mining Graph Data Related Books

Managing and Mining Graph Data
Language: en
Pages: 623
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2010-02-02 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

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 topi
Graph Mining
Language: en
Pages: 191
Authors: Deepayan Chakrabarti
Categories: Computers
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the
Mining Graph Data
Language: en
Pages: 501
Authors: Diane J. Cook
Categories: Technology & Engineering
Type: BOOK - Published: 2006-12-18 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

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 pr
Graph Data Mining
Language: en
Pages: 256
Authors: Qi Xuan
Categories: Computers
Type: BOOK - Published: 2021-07-15 - Publisher: Springer Nature

DOWNLOAD EBOOK

Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields
Graph Data Management
Language: en
Pages: 196
Authors: George Fletcher
Categories: Computers
Type: BOOK - Published: 2018-10-31 - Publisher: Springer

DOWNLOAD EBOOK

This book presents a comprehensive overview of fundamental issues and recent advances in graph data management. Its aim is to provide beginning researchers in t