Temporal Data Mining 12 Chapma

Mitsa, Theophano

ISBN 10: 1420089765 / ISBN 13: 9781420089769

Editore: Chapman and Hall/CRC, 2010

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Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Codice articolo 00079414035

Dati bibliografici

• Titolo: Temporal Data Mining 12 Chapma
• Editore: Chapman and Hall/CRC
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1420089765
• ISBN 13: 9781420089769
• Rilegatura: Rilegato
• Condizione: Very Good

Descrizione articolo

Riassunto

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/

Informazioni sull?autore

Theophano Mitsa, Ph.D., is a software consultant and electrical engineer with expertise in image analysis, computer vision, machine learning, pattern recognition, medical informatics, and decision support systems.