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  • 标题:A Bio-Inspired Approach to Data Mining: A Review
  • 本地全文:下载
  • 作者:Poonam Kataria ; Rahul Sharma
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:11
  • 出版社:S.S. Mishra
  • 摘要:Data mining has become a powerful tool to extract hidden patterns of data and is gaining importance as it helps in decision making in all spheres of life. Its various t echniques allows users to get refined result of their query. Clustering is the technique which allows search engine to group similar kind of data. Diversification techniques ranks the data according to the priority. There are number of bio-inspired approaches which can be implemented to solve hard and complex problems in data mining. In this paper, various swarm intelligence approaches will be discussed
  • 关键词:Data Mining; Clustering ; Diversification; Bio-Inspired; PSO ; GA
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