| Presentation | 2003/3/6 An Efficient Mining Method for Episode Rules using Approximate Informative Basis Yusuke FUJITA, Makoto HARAGUCHI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Discovery of association rules from time-series datasets is an important data mining task. Generally, the number of potential rules grows rapidly as the size of database increases. It is therefor hard for a user to analyze the rules and realize useful ones among them. To avoid such a difficulty, we make some rules invisible to users, provided they are redundant and approximately reconstructed from another non-redundant ones. In another words, only non-redundant rules are presented to users and will be checked for their interestingness. For this purpose, we first define a notion of approximate informative basis consisting of only non-redundant rules, and then present an efficient method to construct it. The degree of approximate reconstruction is associated with the basis as a real parameter adjustable by users. Our experimental results show that the number of non-redundant rules in the approximate informative basis is much reduced. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | association rule mining / time-series dataset / vent sequence / episode rule / approximate redundancy |
| Paper # | AI2002-65 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2003/3/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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 Efficient Mining Method for Episode Rules using Approximate Informative Basis |
| Sub Title (in English) | |
| Keyword(1) | association rule mining |
| Keyword(2) | time-series dataset |
| Keyword(3) | vent sequence |
| Keyword(4) | episode rule |
| Keyword(5) | approximate redundancy |
| 1st Author's Name | Yusuke FUJITA |
| 1st Author's Affiliation | Division of Electronics and Information Engineering Hokkaido University() |
| 2nd Author's Name | Makoto HARAGUCHI |
| 2nd Author's Affiliation | Division of Electronics and Information Engineering Hokkaido University |
| Date | 2003/3/6 |
| Paper # | AI2002-65 |
| Volume (vol) | vol.102 |
| Number (no) | 709 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |