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Frequent Pattern Mining in Transactional and Structured Databases: Different aspects of itemset, sequence and subtree discovery - Softcover
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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- VerlagLAP LAMBERT Academic Publishing
- Erscheinungsdatum2010
- ISBN 10 3843359741
- ISBN 13 9783843359740
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten144
- Kontakt zum HerstellerNicht verfügbar
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Frequent Pattern Mining in Transactional and Structured Databases
Verlag:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843359741
ISBN 13: 9783843359740
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
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Frequent Pattern Mining in Transactional and Structured Databases
Verlag:
LAP LAMBERT Academic Publishing Okt 2010, 2010
ISBN 10: 3843359741
ISBN 13: 9783843359740
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch. Artikel-Nr. 9783843359740
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