A Study on Fuzzy Evolutionary Algorithms for Biological Data mining
| dc.contributor.guide | Dharuman C | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Poongothai S | |
| dc.date.accessioned | 2021-09-02T03:55:13Z | |
| dc.date.available | 2021-09-02T03:55:13Z | |
| dc.date.awarded | ||
| dc.date.completed | 2021 | |
| dc.date.registered | ||
| dc.description.abstract | This thesis deals with Fuzzy Evolutionary Algorithms which is the fast developing area in newlineMachine Learning and Artificial Intelligence. In this research work, the concepts of Fuzzy newlinetheory and Evolutionary Algorithms are combined, which is the recent area of interest among newlinethe researchers. In today s world, lots and lots of data are available for various real life newlineproblems where finding the relevant information from huge quantities become a challenge to newlinethe human society. This leads the way for Data Mining which plays an important role to extract newlinethe relevant information from vast amount of data newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.uri | http://hdl.handle.net/10603/338642 | |
| dc.language | English | |
| dc.publisher.institution | Department of Mathematics | |
| dc.publisher.place | Kattankulathur | |
| dc.publisher.university | SRM University | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Mathematics | |
| dc.subject.keyword | Physical Sciences | |
| dc.subject.keyword | Statistics and Probability | |
| dc.title | A Study on Fuzzy Evolutionary Algorithms for Biological Data mining | |
| dc.title.alternative | A Study on Fuzzy Evolutionary Algorithms for Biological Data mining | |
| dc.type.degree | Ph.D. |
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