By Charu C. Aggarwal
Comprehensive insurance of the total quarter of Classification
Research at the challenge of category has a tendency to be fragmented throughout such parts as development attractiveness, database, facts mining, and laptop studying. Addressing the paintings of those diverse groups in a unified method, Data category: Algorithms and Applications explores the underlying algorithms of type in addition to functions of type in various challenge domain names, together with textual content, multimedia, social community, and organic data.
This entire ebook makes a speciality of 3 basic facets of information classification:
- Methods: The booklet first describes universal recommendations used for type, together with probabilistic equipment, determination bushes, rule-based tools, instance-based equipment, help vector laptop tools, and neural networks.
- Domains: The ebook then examines particular tools used for information domain names equivalent to multimedia, textual content, time-series, community, discrete series, and unsure facts. It additionally covers huge information units and knowledge streams end result of the contemporary value of the massive info paradigm.
- Variations: The booklet concludes with perception on diversifications of the type strategy. It discusses ensembles, rare-class studying, distance functionality studying, energetic studying, visible studying, move studying, and semi-supervised studying in addition to overview facets of classifiers.
Read Online or Download Data Classification: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) PDF
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Extra resources for Data Classification: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Data Classification: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by Charu C. Aggarwal
Categories: Machine Theory