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Temporal Data Mining

Temporal Data Mining

Trending Research Book in Temporal Data Mining

Author(s) Name:  Theophano Mitsa

About the Book:

   The book covers 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.

Table of Contents

  • Temporal Databases and Mediators
  • Temporal Data Similarity Computation, Representation, and Summarization
  • Temporal Data Classification and Clustering
  • Prediction
  • Temporal Pattern Discovery
  • Temporal Data Mining in Medicine and Bioinformatics
  • Temporal Data Mining and Forecasting in Business and Industrial Applications
  • Web Usage Mining. Spatiotemporal Data Mining
  • ISBN:  9781420089769

    Publisher:   Chapman and Hall/CRC

    Year of Publication:   2010

    Book Link:  Home Page Url