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  • 标题:Online Message Categorization Using Apriori Algorithm
  • 本地全文:下载
  • 作者:G.SenthilKumar ; S.Baskar ; M. Rajendran
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2011
  • 卷号:1
  • 期号:2-1
  • 出版社:Seventh Sense Research Group
  • 摘要:—Online message categorization using A priori a lgorithm analyzes the selection and assignment of topical context. It presents several techniques to decrease the hypothesis space and heuristics that apply spec ifically to military reporting environments. This allows accurate assignment of topical context even when the context is only implied rather than given explicitly. With the explosive growth in online Communication is necessary to organize the information f or faster and easier processing. Usually, a company receives huge number of emails to the single mail address. Automatic categorization of all incoming emails should be extremely useful because it can help route an email to the right person. is to find out whether this classification can be used to automatically route incoming mails to the person in charge using an association rule mining methodology and apriori algorithm.
  • 关键词:Implementation and Analysis of Image Restoration Techniques
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