By Charu C. Aggarwal
This textbook explores the several features of knowledge mining from the basics to the complicated facts kinds and their purposes, shooting the huge range of challenge domain names for information mining concerns. It is going past the normal specialize in facts mining difficulties to introduce complex facts forms akin to textual content, time sequence, discrete sequences, spatial facts, graph facts, and social networks. formerly, no unmarried e-book has addressed these kinds of themes in a accomplished and built-in means. The chapters of this e-book fall into one in all 3 different types:
- Fundamental chapters: information mining has 4 major difficulties, which correspond to clustering, category, organization trend mining, and outlier research. those chapters comprehensively talk about a wide selection of equipment for those difficulties.
- Domain chapters: those chapters speak about the categorical equipment used for various domain names of knowledge reminiscent of textual content facts, time-series facts, series facts, graph facts, and spatial info.
Application chapters: those chapters examine very important functions corresponding to flow mining, net mining, rating, innovations, social networks, and privateness upkeep. The area chapters even have an utilized taste.
Appropriate for either introductory and complex information 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 kind to enhance accessibility for college students and business practitioners (including people with a constrained mathematical background). a number of illustrations, examples, and workouts are incorporated, with an emphasis on semantically interpretable examples.
Praise for facts Mining: The Textbook -
“As I learn via this booklet, i've got already made up our minds to exploit it in my sessions. This is a publication written by means of a superb researcher who has made basic contributions to information mining, in a manner that's either obtainable and recent. The booklet is entire with conception and sensible use situations. It’s vital for college kids and professors alike!" -- Qiang Yang, Chair of machine technological know-how and Engineering at Hong Kong collage of technological know-how and Technology
"This is the main outstanding and finished textual content publication on information mining. It covers not just the basic difficulties, comparable to clustering, class, outliers and widespread styles, and various facts varieties, together with textual content, time sequence, sequences, spatial info and graphs, but in addition a variety of purposes, resembling recommenders, internet, social community and privacy. it's a nice e-book for graduate scholars and researchers in addition to practitioners." -- Philip S. Yu, UIC extraordinary Professor and Wexler Chair in details know-how at collage of Illinois at Chicago
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