| Presentation | 2013/10/30 An Algorithm for Finding Frequently Appearing Long String Patterns from Large Scale Databases Takeaki Uno, Juzoh Umemori, Tsuyoshi Koide, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a new algorithm for solving frequent string mining problem with allowing approximate matches. The algorithm first computes the similarity between the strings in the database, and enumerate clusters generated by similarity. We then compute representative strings for each cluster, and the representatives are our frequent strings. Further, by taking majority votes, we extend the obtained representatives to obtain long frequent strings. The computational experiments we performed show the efficiency of both our model and algorithm; we were able to find many string patterns appearing many times in the data, and that were long but not particularly numerous. The computation time of our method is practically short, such as 20 minutes even for a genomic sequence of 100 millions of letters. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | Vol.2013-AL-145 No.2 |
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| Conference Information | |
| Committee | CAS |
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| Conference Date | 2013/10/30(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Circuits and Systems (CAS) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Algorithm for Finding Frequently Appearing Long String Patterns from Large Scale Databases |
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| 1st Author's Name | Takeaki Uno |
| 1st Author's Affiliation | National Institute of Informatics() |
| 2nd Author's Name | Juzoh Umemori |
| 2nd Author's Affiliation | Fujita Health University |
| 3rd Author's Name | Tsuyoshi Koide |
| 3rd Author's Affiliation | National Institute of Genetics |
| Date | 2013/10/30 |
| Paper # | Vol.2013-AL-145 No.2 |
| Volume (vol) | vol.113 |
| Number (no) | 278 |
| Page | pp.pp.- |
| #Pages | 8 |
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