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Temporal Data Mining (Chapman & Hall CRC Data Mining and Knowledge Discovery Series) PDF

368 Pages·2010·6.537 MB·English
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by Theophano Mitsa| 2010| 368 pages| 6.537| English

About Temporal Data Mining (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today. From basic data mining concepts to state-of-the-art advances, Temporal Data Mining covers the theory of this subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation, similarity computation, data classification, clustering, pattern discovery, and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web usage mining, and spatiotemporal data mining. Along with various state-of-the-art algorithms, each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references. In the appendices, the author explains how data mining fits the overall goal of an organization and how these data can be interpreted for the purpose of characterizing a population. She also provides programs written in the Java language that implement some of the algorithms presented in the first chapter. Check out the author's blog at http://theophanomitsa.wordpress.com/

Detailed Information

Author:Theophano Mitsa
Publication Year:2010
ISBN:9781420089769
Pages:368
Language:English
File Size:6.537
Format:PDF
Price:FREE
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