Articles liés à Frequent Pattern Mining in Transactional and Structured...
Frequent Pattern Mining in Transactional and Structured Databases: Different aspects of itemset, sequence and subtree discovery - Couverture souple
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
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.
Biographie de l'auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurLAP LAMBERT Academic Publishing
- Date d'édition2010
- ISBN 10 3843359741
- ISBN 13 9783843359740
- ReliureBroché
- Langueanglais
- Nombre de pages144
- Coordonnées du fabricantnon disponible
Acheter neuf
Afficher cet article
EUR 48,50
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délaisRésultats de recherche pour Frequent Pattern Mining in Transactional and Structured...
Image fournie par le vendeur
Frequent Pattern Mining in Transactional and Structured Databases
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3843359741
ISBN 13 : 9783843359740
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 5465945
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Frequent Pattern Mining in Transactional and Structured Databases : Different aspects of itemset, sequence and subtree discovery
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3843359741
ISBN 13 : 9783843359740
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783843359740
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Frequent Pattern Mining in Transactional and Structured Databases
Edité par
LAP LAMBERT Academic Publishing Okt 2010, 2010
ISBN 10 : 3843359741
ISBN 13 : 9783843359740
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783843359740
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Frequent Pattern Mining in Transactional and Structured Databases
Edité par
LAP LAMBERT Academic Publishing Okt 2010, 2010
ISBN 10 : 3843359741
ISBN 13 : 9783843359740
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783843359740
Quantité disponible : 2 disponible(s)
Image d'archives
Frequent Pattern Mining in Transactional and Structured Databases: Different aspects of itemset, sequence and subtree discovery
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3843359741
ISBN 13 : 9783843359740
Ancien ou d'occasion
Paperback
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Paperback. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA79038433597416
Quantité disponible : 1 disponible(s)