Presentation 2003/3/7
An Effective Pre-processing Model Using Layered Structure
Yukichi Yamada, Ryutaro Ichise, Masayuki Numao,
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Abstract(in English) Knowledge discovery in databases (KDD) requires huge data, which takes a long time to be preprocessed. Although each element of pre-processing is simple, it tends to be quite complicated and is hard to construct the whole plan. To reduce the load, we propose the original model for pre-processing and an interactive and dynamic planning tool for pre-processing, named TransX. This system is based on XML transformation, which enables to visualize the process by using a treelike notation and it allows a user to process data easily and understandably. We propose the original model for preprocessing scheme, which enables to define the preprocessing plan simply, and shows how the system, TransX, carries out the plan concretely
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Keyword(in English) KDD / preprocessing / data mining / layered structure
Paper # AI2002-73
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Committee AI
Conference Date 2003/3/7(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Effective Pre-processing Model Using Layered Structure
Sub Title (in English)
Keyword(1) KDD
Keyword(2) preprocessing
Keyword(3) data mining
Keyword(4) layered structure
1st Author's Name Yukichi Yamada
1st Author's Affiliation Department of Computer Science, Tokyo Institute of Tech()
2nd Author's Name Ryutaro Ichise
2nd Author's Affiliation Intelligent Systems Research Division, National Institute of Informatics
3rd Author's Name Masayuki Numao
3rd Author's Affiliation Department of Computer Science, Tokyo Institute of Tech
Date 2003/3/7
Paper # AI2002-73
Volume (vol) vol.102
Number (no) 710
Page pp.pp.-
#Pages 6
Date of Issue