Frequent Pattern Mining in Transactional and Structured Databases: Different aspects of itemset, sequence and subtree discovery - Softcover

Iváncsy, Renáta

 
9783843359740: Frequent Pattern Mining in Transactional and Structured Databases: Different aspects of itemset, sequence and subtree discovery
Softcover
ISBN 10: 3843359741 ISBN 13: 9783843359740
Verlag: LAP LAMBERT Academic Publishing, 2010

Inhaltsangabe

Data mining is a process of discovering hidden relationships in large amounts of data. Frequent pattern discovery is an important research area in the field of data mining. Its purpose is to find patterns which appear frequently in a large collection of data. This work deals with three main areas of frequent pattern mining, namely, frequent itemset, frequent sequence and frequent subtree discovery. Beside providing a brief overview of related works of each single frequent pattern mining problem mentioned before, the three theses offered in this work suggest novel methods for efficient discovery of the different types of frequent patterns. The new methods are compared to the best-known algorithms in the related fields. The performance analysis of the methods involves measurements of the execution time and memory requirements.

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Reseña del editor

Data mining is a process of discovering hidden relationships in large amounts of data. Frequent pattern discovery is an important research area in the field of data mining. Its purpose is to find patterns which appear frequently in a large collection of data. This work deals with three main areas of frequent pattern mining, namely, frequent itemset, frequent sequence and frequent subtree discovery. Beside providing a brief overview of related works of each single frequent pattern mining problem mentioned before, the three theses offered in this work suggest novel methods for efficient discovery of the different types of frequent patterns. The new methods are compared to the best-known algorithms in the related fields. The performance analysis of the methods involves measurements of the execution time and memory requirements.

Biografía del autor

Renáta Iváncsy received her Ph.D degree in 2006. She is Associate Proffesor at Department of Automation and Applied Informatics of the Budapest University of Technology and Economics. Her research field is data mining, particularly frequent pattern discovery, clustering and text data mining.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2010
Sprache
Englisch
ISBN 10 
3843359741
ISBN 13 
9783843359740
Einband
Tapa blanda
Anzahl der Seiten
144
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Verantwortliche Person
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