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  • 标题:Cloud Data Mining based on Association Rule
  • 本地全文:下载
  • 作者:CH.Sekhar ; S Reshma Anjum
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:2
  • 页码:2091-2094
  • 出版社:TechScience Publications
  • 摘要:This paper describes how data mining is used in cloud computing. Data Mining is used for extracting potentially useful information from raw data. The integration of data mining techniques into normal day-to-day activities has become common place. Every day people are confronted with targeted advertising, and data mining techniques help businesses to become more efficient by reducing costs. Cloud computing provides a powerful, scalable and flexible infrastructure into which one can integrate, previously known, techniques and methods of Data Mining. This paper also discusses such technology- the technology of big data mining, known as cloud data mining (CDM). Data security and access control are the most challenging in cloud computing because users send their sensitive data to the cloud service providers. The service providers must have a suitable way to protect their client’s sensitive data. Association rules are dependency rules which predict occurrence of an item based on occurrences of other items. Apriori is the best-known algorithm to mine association rules
  • 关键词:Cloud computing; data mining; Cloud Data;Mining; Association; Apriori
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