| Presentation | 1998/10/14 Using Mask-Itemsets for accelerating Constrained Association Rule Mining Tadashi OHMORI, Toyofumi FUKAO, Mamoru HOSHI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper discusses the problem of mining association rules with item constraints, which requires that some groups of items must appear in discovered rules. An algorithm is proposed for this problem. Its strategy is to find a rough set of large itmsets from a database, and then to compute mask-itemsets from it, and finally to compute original large itemsets by using those mask-itemsets as filtering conditions. This paper firstly describes 'dense' data-distribution under which a database needs constrained rule-mining ; after that, the algorithm is described and is evaluated in a real database of 2-years horse-racing records. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | data mining / constrained association rule mining / indexing |
| Paper # | DE98-17 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 1998/10/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Using Mask-Itemsets for accelerating Constrained Association Rule Mining |
| Sub Title (in English) | |
| Keyword(1) | data mining |
| Keyword(2) | constrained association rule mining |
| Keyword(3) | indexing |
| 1st Author's Name | Tadashi OHMORI |
| 1st Author's Affiliation | The University Of Electro-Communications, Graduate School Of Information Systems() |
| 2nd Author's Name | Toyofumi FUKAO |
| 2nd Author's Affiliation | The University Of Electro-Communications, Graduate School Of Information Systems |
| 3rd Author's Name | Mamoru HOSHI |
| 3rd Author's Affiliation | The University Of Electro-Communications, Graduate School Of Information Systems |
| Date | 1998/10/14 |
| Paper # | DE98-17 |
| Volume (vol) | vol.98 |
| Number (no) | 316 |
| Page | pp.pp.- |
| #Pages | 9 |
| Date of Issue | |