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  • 标题:Genetic Algorithm Decryption Based Watermarking Scheme for Sound Signals Using Closest Approach
  • 本地全文:下载
  • 作者:Dr. M Nagabhushana Rao ; Dr. M Muralidhara Rao ; Vedavathi P
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2013
  • 卷号:4
  • 期号:2
  • 页码:136-140
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:During the past few years Special-purpose data mining systems have drawn great attention in the research and industrial area for their application into real environments and more spatial data is used with the application and development of modern science and technology. Therefore, obtaining the spatial knowledge becomes more important and meaningful. Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. Spatial data mining is the extraction of hidden, useful and interesting spatial or non-spatial patterns from large amount of incomplete and noisy spatial databases. Spatial data mining presents new challenges due to the large size of spatial data, the complexity of spatial data types, and the special nature of spatial access methods. By collecting patients’ data, we analyze, predict and interpret the data to the health organizations for conducting Campaigns. Our contribution is to design disaster prediction system to identify the Cholera disease using Data mining tools i.e SPSS Modeler and Data mining algorithms.
  • 关键词:Cholera;CHAID Algorithm;Spatial Data Mining;SPSS Modeler; SPSS Statistics
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