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  • 标题:TDSGenerator-A Tool for generating synthetic Transactional Datasets for Association Rules Mining
  • 本地全文:下载
  • 作者:G S Bhamra ; A K Verma ; R B Patel
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:2
  • 出版社:IJCSI Press
  • 摘要:Data Mining (DM) is the process of automated extraction of interesting data patterns representing knowledge, from the large data sets. Frequent itemsets are the item sets that appear in a data set frequently. Finding such frequent itemsets plays an essential role in mining associations, correlations, and many other interesting relationships among itemsets in transactional and relational database. In this paper we have presented a tool called, Transactional Dataset Generator (TDSGenerator v1.0) for generating a Binary Dataset as well as Transactional Dataset corresponding to the Binary Dataset. Synthetic datasets generated by this tool will be used to find the list of frequent itemsets and thereafter finding the strong Association Rules among those itemsets. This tool can also be used as a demonstrator for experimenting and explaining the concepts of Association Rules Mining (ARM).
  • 关键词:Data Mining; Frequent Itemsets; Binary Data Set; Transactional Data Set; Association Rules Mining
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