Result: Mining frequent closed itemsets without candidate generation
Title:
Mining frequent closed itemsets without candidate generation
Authors:
Source:
Parallel and distributed processing and applications (Third international symposium, ISPA 2005)0ISPA 2005. :668-677
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 8 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Analyse forme, Pattern analysis, Análisis forma, Fouille donnée, Data mining, Busca dato, Méthode arborescente, Tree structured method, Método arborescente, Redondance, Redundancy, Redundancia, Système réparti, Distributed system, Sistema repartido
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Southwest Jiaotong University, School of Computer Science and Communication Engineering, 610031 Chengdu, China
ISSN:
0302-9743
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17457112
Database:
PASCAL Archive
Further Information
Mining frequent closed itemsets provides complete and non-redundant result for the analysis of frequent pattern. Most of the previous studies adopted the FP-tree based conditional FP-tree generation and candidate itemsets generation-and-test approaches. However, those techniques are still costly, especially when there exists prolific and/or long itemsets. This paper redesigns FP-tree structure and proposes a novel algorithm based on it. This algorithm not only avoids building conditional FP-tree but also can get frequent closed itemsets directly without candidate itemsets generation. The experimental results show the advantage and improvement of these strategies.