By Charu C. Aggarwal
This textbook explores different features of information mining from the basics to the complicated facts varieties and their purposes, taking pictures the huge variety of challenge domain names for facts mining concerns. It is going past the normal specialise in info mining difficulties to introduce complex information forms equivalent to textual content, time sequence, discrete sequences, spatial info, graph info, and social networks. previously, no unmarried ebook has addressed most of these issues in a complete and built-in means. The chapters of this publication fall into considered one of 3 different types:
- Fundamental chapters: facts mining has 4 major difficulties, which correspond to clustering, category, organization development mining, and outlier research. those chapters comprehensively talk about a large choice of equipment for those difficulties.
- Domain chapters: those chapters talk about the explicit tools used for various domain names of knowledge comparable to textual content information, time-series facts, series facts, graph info, and spatial information.
Application chapters: those chapters examine very important functions comparable to circulation mining, internet mining, rating, thoughts, social networks, and privateness renovation. The area chapters even have an utilized taste.
Appropriate for either introductory and complex facts mining classes, facts Mining: The Textbook balances mathematical information and instinct. It includes the mandatory mathematical information for professors and researchers, however it is gifted in an easy and intuitive sort to enhance accessibility for college kids and commercial practitioners (including people with a constrained mathematical background). a number of illustrations, examples, and workouts are integrated, with an emphasis on semantically interpretable examples.
Praise for info Mining: The Textbook -
“As I learn via this booklet, i've got already determined to exploit it in my periods. This is a booklet written by way of a very good researcher who has made primary contributions to info mining, in a manner that's either available and recent. The booklet is entire with conception and sensible use circumstances. It’s a must have for college students and professors alike!" -- Qiang Yang, Chair of computing device technological know-how and Engineering at Hong Kong collage of technological know-how and Technology
"This is the main impressive and finished textual content booklet on info mining. It covers not just the elemental difficulties, corresponding to clustering, class, outliers and widespread styles, and assorted facts varieties, together with textual content, time sequence, sequences, spatial information and graphs, but in addition a number of purposes, resembling 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 individual Professor and Wexler Chair in details know-how at collage of Illinois at Chicago
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