Overview

Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data mining and sequence data analysis, allowing readers to access the state-of-the-art results in one place.

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9780387699363

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Reviews

Aus den Rezensionen: Einem kurzen, einleitenden Uberblick lassen die Autoren auf dem Fusse schwierige Details folgen: Mathematische Definitionen und Algorithmen erlautern sie zwar immer wieder auch anhand von Beispielen ! In den vier Hauptkapiteln greifen sie spezifische Probleme ! Mehrere hundert wissenschaftliche Referenzen sowie ein lndex runden das Buch schliesslich ab. Das kompakte Werk eignet sich ... fur Studenten der Informatik oder verwandter Studiengebiete, die einen fundierten Uberblick uber die praktischen Anwendungsgebiete des Data Mining bekommen wollen ! (Tobias Engler/fm, in: c't magazin fur computer technik, 2008, Issue 1, S. 192)

From the reviews: <p> In this short book, Dong and Pei provide a good introductory to the topic, organized into seven chapters. a ] This book should appeals to researchers and graduate students working in the field (or with an interest in DM) who want to extend their knowledge of sequence DM. (John Fulcher, Computing Reviews, January, 2008)

From the reviews: In this short book, Dong and Pei provide a good introductory to the topic, organized into seven chapters. ... This book should appeals to researchers and graduate students working in the field (or with an interest in DM) who want to extend their knowledge of sequence DM. (John Fulcher, Computing Reviews, January, 2008)

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