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  • 标题:A Survey on Association Rules in Case of Multimedia Data Mining
  • 本地全文:下载
  • 作者:Vishwadeepak Singh Baghela ; Dr. S. P Tripathi
  • 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:2012
  • 卷号:3
  • 期号:1Ver4
  • 出版社:Ayushmaan Technologies
  • 摘要:Data mining is the extraction of hidden predictive information from large database. Due to rapid application of computer and electronic devices and tremendous growth in computing power and storage capacity, there is explosive growth in data collection. Data mining was done primarily on numerical set of data, now days as large multimedia datasets such as text, audio , video, image and combination of several types are becoming , which is almost unstructured or semi structured data by nature, which makes it difficult to extract the information without powerful tools. Association is a powerful data analysis technique that appears frequently in data mining literature. The main advantages of association are simplicity, intuitiveness and freedom from modelbest assumption. This survey paper aims at giving an overview to some of the previous researches done in this topic, evaluating the current status of the field and envisioning possible future trends in this area. and advices
  • 关键词:Multimedia Data Mining; Association Rules; Text Mining;Unstructured Dataems
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