By Charu C. Aggarwal
This textbook explores the several points of knowledge mining from the basics to the complicated information kinds and their functions, shooting the large range of challenge domain names for facts mining concerns. It is going past the normal specialize in facts mining difficulties to introduce complex info varieties similar to textual content, time sequence, discrete sequences, spatial info, graph info, and social networks. beforehand, no unmarried booklet has addressed some of these themes in a entire and built-in method. The chapters of this publication fall into one in every of 3 different types:
- Fundamental chapters: facts mining has 4 major difficulties, which correspond to clustering, type, organization development mining, and outlier research. those chapters comprehensively talk about a large choice of tools for those difficulties.
- Domain chapters: those chapters speak about the categorical equipment used for various domain names of knowledge corresponding to textual content info, time-series information, series information, graph information, and spatial information.
Application chapters: those chapters research vital purposes comparable to circulate mining, internet mining, rating, strategies, social networks, and privateness protection. The area chapters even have an utilized taste.
Appropriate for either introductory and complex facts mining classes, information Mining: The Textbook balances mathematical info and instinct. It includes the required mathematical information for professors and researchers, however it is gifted in an easy and intuitive type to enhance accessibility for college kids and commercial practitioners (including people with a restricted mathematical background). various illustrations, examples, and routines are integrated, with an emphasis on semantically interpretable examples.
Praise for facts Mining: The Textbook -
“As I learn via this e-book, i've got already determined to take advantage of it in my periods. This is a ebook written via a good researcher who has made basic contributions to info mining, in a manner that's either available and recent. The booklet is whole with conception and sensible use instances. It’s a must have for college kids and professors alike!" -- Qiang Yang, Chair of laptop technological know-how and Engineering at Hong Kong college of technology and Technology
"This is the main notable and accomplished textual content publication on info mining. It covers not just the elemental difficulties, corresponding to clustering, class, outliers and widespread styles, and assorted information varieties, together with textual content, time sequence, sequences, spatial info and graphs, but additionally a variety of purposes, corresponding to recommenders, net, social community and privacy. it's a nice booklet for graduate scholars and researchers in addition to practitioners." -- Philip S. Yu, UIC unusual Professor and Wexler Chair in details know-how at collage of Illinois at Chicago