DocumentCode :
2359180
Title :
A New Data Cube for Integrating Data Mining and OLAP
Author :
Ohmori, Tadashi ; Naruse, Masahide ; Hoshi, Mamoru
Author_Institution :
Electro-Commun. Univ., Tokyo
fYear :
2007
fDate :
17-20 April 2007
Firstpage :
896
Lastpage :
903
Abstract :
Recently there is much need of discovering useful knowledge from massive log-data which are generated by Web-based information systems. Such log-data have multiple attributes about when and where what events occurred. In order to find useful knowledge from this data-set. many aggregate queries and data-mining queries must be issued under various constraints in the "when/where/what" -space. To support this process. this paper proposes a new data cube named llemset Cube. This cube directly supports data-mining task in a multi-dimensional space of analysis. Definition and algorithms of the itemset cube and its application to a real data-set are described.
Keywords :
Internet; data mining; query processing; OLAP; Web-based information systems; aggregate queries; data cube; data-mining queries; data-mining task; massive log-data; multidimensional space; useful knowledge discovery; Aggregates; Data analysis; Data mining; Humans; Information systems; Internet; Itemsets; Portals; Testing; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshop, 2007 IEEE 23rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-0832-0
Electronic_ISBN :
978-1-4244-0832-0
Type :
conf
DOI :
10.1109/ICDEW.2007.4401082
Filename :
4401082
Link To Document :
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