Temporal data mining / Theophano Mitsa.

Format:

Book

Author/Creator:

Mitsa, Theophano.

Series:

Chapman & Hall/CRC data mining and knowledge discovery series

Language:

English

Subjects (All):

Data mining.

Temporal databases.

Physical Description:

xxii, 390 pages : illustrations ; 25 cm.

Place of Publication:

Boca Raton, FL : Chapman & Hall/CRC, [2010]

Summary:

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.

Contents:

Temporal databases and mediators

Temporal data similarity computation, representation, summarization

Temporal data classification and clustering

Prediction

Temporal pattern discovery

Temporal pattern discovery, classification, and clustering

Temporal data mining and forecasting in business and industrial applications

Web usage mining

Spatiotemporal data mining.

Notes:

Includes bibliographical references and index.

ISBN:

9781420089769

1420089765

OCLC:

474869534

Online:

Contributor biographical information