Presentation | 1997/12/2 Data Mining with economical data Terumasa Shirosaka, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | There is the three problems in economical data to apply data mining technology, i.e., 1)changing the causal relationship with the time, 2)many number of items in a record, 3)few total number of records. The key point for getting useful information from data mining in economical data is 1)the selection of the analyzing time window, and 2)the choice of informative items. this report shows 1) a summary of a developed data mining tool which can select both a analyzing time window and the items appropriately, and, as an example of economical data mining, 2) a result of data mining for analyzing a stock price movement. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Data mining / neural network / time / economic / stock / learning |
Paper # | AI97-34 |
Date of Issue |
Conference Information | |
Committee | AI |
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Conference Date | 1997/12/2(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
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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) | Data Mining with economical data |
Sub Title (in English) | |
Keyword(1) | Data mining |
Keyword(2) | neural network |
Keyword(3) | time |
Keyword(4) | economic |
Keyword(5) | stock |
Keyword(6) | learning |
1st Author's Name | Terumasa Shirosaka |
1st Author's Affiliation | Research Institute of Information Technology Yamaichi Information Systems CO., LTD.() |
Date | 1997/12/2 |
Paper # | AI97-34 |
Volume (vol) | vol.97 |
Number (no) | 415 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |