Presentation | 2003/3/7 An Effective Pre-processing Model Using Layered Structure Yukichi Yamada, Ryutaro Ichise, Masayuki Numao, |
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Abstract(in Japanese) | (See Japanese page) |
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 |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | KDD / preprocessing / data mining / layered structure |
Paper # | AI2002-73 |
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Committee | AI |
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Conference Date | 2003/3/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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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 |
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