By Charu C. Aggarwal
This textbook explores different elements of knowledge mining from the basics to the complicated facts varieties and their purposes, shooting the extensive variety of challenge domain names for info mining concerns. It is going past the normal specialise in information mining difficulties to introduce complex facts forms reminiscent of textual content, time sequence, discrete sequences, spatial info, graph facts, and social networks. previously, no unmarried e-book has addressed most of these themes in a entire and built-in manner. The chapters of this publication fall into certainly one of 3 different types:
- Fundamental chapters: information mining has 4 major difficulties, which correspond to clustering, class, organization development mining, and outlier research. those chapters comprehensively speak about a wide selection of tools for those difficulties.
- Domain chapters: those chapters speak about the categorical tools used for various domain names of knowledge comparable to textual content information, time-series info, series info, graph info, and spatial info.
Application chapters: those chapters research very important purposes akin to circulate mining, internet mining, rating, suggestions, social networks, and privateness protection. The area chapters even have an utilized style.
Appropriate for either introductory and complex facts mining classes, information Mining: The Textbook balances mathematical info and instinct. It comprises the mandatory mathematical info for professors and researchers, however it is gifted in an easy and intuitive type to enhance accessibility for college students and commercial practitioners (including people with a restricted mathematical background). a variety of illustrations, examples, and routines are incorporated, with an emphasis on semantically interpretable examples.
Praise for facts Mining: The Textbook -
“As I learn via this ebook, i've got already determined to take advantage of it in my periods. This is a publication written by means of a very good researcher who has made basic contributions to info mining, in a manner that's either available and recent. The e-book is whole with concept and functional use instances. It’s a must have for college kids and professors alike!" -- Qiang Yang, Chair of laptop technology and Engineering at Hong Kong collage of technology and Technology
"This is the main awesome and complete textual content booklet on facts mining. It covers not just the basic difficulties, corresponding to clustering, class, outliers and common styles, and assorted facts forms, together with textual content, time sequence, sequences, spatial facts and graphs, but additionally numerous purposes, akin to recommenders, net, social community and privacy. it's a nice e-book for graduate scholars and researchers in addition to practitioners." -- Philip S. Yu, UIC special Professor and Wexler Chair in info expertise at collage of Illinois at Chicago
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Extra info for Data Mining: The Textbook
Data Mining: The Textbook by Charu C. Aggarwal