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文章基本信息

  • 标题:Data, Text and Web Mining for Business Intelligence : A Survey
  • 本地全文:下载
  • 作者:Abdul-Aziz Rashid Al-Azmi
  • 期刊名称:International Journal of Data Mining & Knowledge Management Process
  • 印刷版ISSN:2231-007X
  • 电子版ISSN:2230-9608
  • 出版年度:2013
  • 卷号:3
  • 期号:2
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:The Information and Communication Technologies revolution brought a digital world with huge amounts of data available. Enterprises use mining technologies to search vast amounts of data for vital insight and knowledge. Mining tools such as data mining, text mining, and web mining are used to find hidden knowledge in large databases or the Internet. Mining tools are automated software tools used to achieve business intelligence by finding hidden relations, and predicting future events from vast amounts of data. This uncovered knowledge helps in gaining completive advantages, better customers’ relationships, and even fraud detection. In this survey, we’ll describe how these techniques work, how they are implemented. Furthermore, we shall discuss how business intelligence is achieved using these mining tools. Then look into some case studies of success stories using mining tools. Finally, we shall demonstrate some of the main challenges to the mining technologies that limit their potential.
  • 关键词:business intelligence; competitive advantage; data mining; information systems; knowledge discovery
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