Guozhu Dong, Jian Pei

Sequence Data Mining (eBook, PDF)

• Format: PDF

Produktdetails

• Verlag: Springer US
• Erscheinungstermin: 31. Oktober 2007
• Englisch
• ISBN-13: 9780387699370
• Artikelnr.: 37286183

Autorenporträt

Jian Pei is Associate Professor of Computing Science and the director of Collaborative Research and Industry Relations at the School of Computing Science at Simon Fraser University, Canada. In 2002-2004, he was an Assistant Professor of Computer Science and Engineering at the State University of New York (SUNY) at Buffalo. He received a Ph.D. degree in Computing Science from Simon Fraser University in 2002, under Dr. Jiawei Han's supervision.

Inhaltsangabe

Frequent and Closed Sequence Patterns.- Classification, Clustering, Features and Distances of Sequence Data.- Sequence Motifs: Identifying and Characterizing Sequence Families.- Mining Partial Orders from Sequences.- Distinguishing Sequence Patterns.- Related Topics.

---

Frequent and Closed Sequence Patterns.- Classification, Clustering, Features and Distances of Sequence Data.- Sequence Motifs: Identifying and Characterizing Sequence Families.- Mining Partial Orders from Sequences.- Distinguishing Sequence Patterns.- Related Topics.

Rezensionen

Aus den Rezensionen: "Einem kurzen, einleitenden Überblick lassen die Autoren auf dem Fuße schwierige Details folgen: Mathematische Definitionen und Algorithmen erläutern 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 ... für Studenten der Informatik oder verwandter Studiengebiete, die einen fundierten Überblick über die praktischen Anwendungsgebiete des Data Mining bekommen wollen ..." (Tobias Engler/fm, in: c't magazin für computer technik, 2008, Issue 1, S. 192)

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)