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Frequent Pattern Mining in Transactional and Structured Databases: Different aspects of itemset, sequence and subtree discovery - Tapa blanda
Sinopsis
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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Frequent Pattern Mining in Transactional and Structured Databases
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843359741
ISBN 13: 9783843359740
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Tapa blanda
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Frequent Pattern Mining in Transactional and Structured Databases
Publicado por
LAP LAMBERT Academic Publishing Okt 2010, 2010
ISBN 10: 3843359741
ISBN 13: 9783843359740
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 144 pp. Englisch. Nº de ref. del artículo: 9783843359740
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Frequent Pattern Mining in Transactional and Structured Databases : Different aspects of itemset, sequence and subtree discovery
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843359741
ISBN 13: 9783843359740
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783843359740
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Frequent Pattern Mining in Transactional and Structured Databases
Publicado por
LAP LAMBERT Academic Publishing Okt 2010, 2010
ISBN 10: 3843359741
ISBN 13: 9783843359740
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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. Nº de ref. del artículo: 9783843359740
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Frequent Pattern Mining in Transactional and Structured Databases: Different aspects of itemset, sequence and subtree discovery
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843359741
ISBN 13: 9783843359740
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