Presentation 1999/1/23
On Selection of Rules for Database Compression using KDD
Kazuki AISAKA, Masahiko TSUKAMOTO, Kaname HARUMOTO, Shojiro NISHIO,
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Abstract(in English) Despite the continuing price drop of memory devices, storage cost is still a major cost factor in large database applications, such as data warehouse.An effective way to reduce the storage cost is to compress a database.Based this idea, we have proposed compression techniques so far.The proposed method finds hidden rules in a relational database by using knowledge discovery algorithms and replaces data with rules which results in a compression of the database.In this technique, a user can directly access the compressed database.However, there is a problem in this technique such that the application order of the discovered rules largely affects the amount of the resulting database.Since it is not realistic to examine all combinations method of the rule application order to find the optimal result, in this paper, we propose a heuristic compression which does not have high time complexity while can get better compression ratio.Further, we show the effectiveness of the method by experimental studies.
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Paper # DE98-55
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Committee DE
Conference Date 1999/1/23(1days)
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Registration To Data Engineering (DE)
Language JPN
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Title (in English) On Selection of Rules for Database Compression using KDD
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1st Author's Name Kazuki AISAKA
1st Author's Affiliation Department of Information Systems Engineering, Graduate School of Engineering, Osaka University()
2nd Author's Name Masahiko TSUKAMOTO
2nd Author's Affiliation Department of Information Systems Engineering, Graduate School of Engineering, Osaka University
3rd Author's Name Kaname HARUMOTO
3rd Author's Affiliation Department of Information Systems Engineering, Graduate School of Engineering, Osaka University
4th Author's Name Shojiro NISHIO
4th Author's Affiliation Department of Information Systems Engineering, Graduate School of Engineering, Osaka University
Date 1999/1/23
Paper # DE98-55
Volume (vol) vol.98
Number (no) 561
Page pp.pp.-
#Pages 6
Date of Issue