| Presentation | 2004/11/27 Developing Text Mining Based Algorithms for Classifying Biological Sequences(Text Mining I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) HOANG KIEM, DO PHUC, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The paper focuses on developing the algorithms for discovering the frequent motifs and the ordered co-occurrence set of frequent motifs supporting, the classification of the family of biological sequences. AprioriBioSequence is the name of our proposed. Algorithm, which has been developed from the algorithms of discovering the frequent patterns in document sentences of text mining. AprioriBioSequence can discover the frequent motifs without specifying the length of discovered motifs. Besides, paper also deals with the algorithm for discovering the ordered set of the co-occurrence frequent motifs for classifying the biological sequences. The experimental results of the proposed algorithms with the E-Coli Promoter sequences are presented. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | biological sequences / co-occurrence / frequent motifs / text mining |
| Paper # | AI2004-21 |
| Date of Issue |
| Conference Information | |
| Committee | AI |
|---|---|
| Conference Date | 2004/11/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Developing Text Mining Based Algorithms for Classifying Biological Sequences(Text Mining I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) |
| Sub Title (in English) | |
| Keyword(1) | biological sequences |
| Keyword(2) | co-occurrence |
| Keyword(3) | frequent motifs |
| Keyword(4) | text mining |
| 1st Author's Name | HOANG KIEM |
| 1st Author's Affiliation | Center for Information Technology Vietnam National University, HCM city() |
| 2nd Author's Name | DO PHUC |
| 2nd Author's Affiliation | Center for Information Technology Vietnam National University, HCM city |
| Date | 2004/11/27 |
| Paper # | AI2004-21 |
| Volume (vol) | vol.104 |
| Number (no) | 485 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |