By Charu C. Aggarwal
Comprehensive assurance of the total quarter of Classification
Research at the challenge of type has a tendency to be fragmented throughout such parts as trend acceptance, database, facts mining, and laptop studying. Addressing the paintings of those assorted groups in a unified approach, Data class: Algorithms and Applications explores the underlying algorithms of type in addition to purposes of category in numerous challenge domain names, together with textual content, multimedia, social community, and organic data.
This entire ebook makes a speciality of 3 basic features of information classification:
- Methods: The ebook first describes universal ideas used for type, together with probabilistic equipment, choice timber, rule-based equipment, instance-based equipment, aid vector computing device equipment, and neural networks.
- Domains: The e-book then examines particular tools used for information domain names reminiscent of multimedia, textual content, time-series, community, discrete series, and unsure information. It additionally covers huge information units and knowledge streams as a result contemporary value of the massive facts paradigm.
- Variations: The e-book concludes with perception on diversifications of the type technique. It discusses ensembles, rare-class studying, distance functionality studying, lively studying, visible studying, move studying, and semi-supervised studying in addition to assessment elements of classifiers.
Read or Download Data Classification: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) PDF
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Data Classification: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by Charu C. Aggarwal
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