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Temporal Data Mining Chapman Hall Crc Data Mining And Knowledge Discovery Series Theophano Mitsa

  • SKU: BELL-1691216
Temporal Data Mining Chapman Hall Crc Data Mining And Knowledge Discovery Series Theophano Mitsa
$ 31.00 $ 45.00 (-31%)

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Temporal Data Mining Chapman Hall Crc Data Mining And Knowledge Discovery Series Theophano Mitsa instant download after payment.

Publisher: Chapman & Hall \/ CRC
File Extension: PDF
File size: 6.54 MB
Pages: 368
Author: Theophano Mitsa
ISBN: 9781420089769, 1420089765
Language: English
Year: 2010

Product desciption

Temporal Data Mining Chapman Hall Crc Data Mining And Knowledge Discovery Series Theophano Mitsa by Theophano Mitsa 9781420089769, 1420089765 instant download after payment.

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/

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