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Temporal Data Mining - Theophano Mitsa

Temporal Data Mining

By: Theophano Mitsa

eText | 10 March 2010 | Edition Number 1

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From basic data mining concepts to state-of-the-art advances, this book covers the theory of the 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.

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Non-Fiction Economics Econometrics Economic Statistics Computing & I.T.Digital Lifestyle & Online World: Consumer & User Guides Computer Games & Online Games Strategy Guides Databases Data Mining Computer Programming & Software Development Algorithms & Data Structures Mathematics

Probability & Statistics Computer Science Business Applications Mathematical & Statistical Software

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Published: 5th September 2019

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