Diminishing downsides of data mining

John Wang, Xiaohua Hu, Dan Zhu

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Data Mining (DM) helps deliver tremendous insights for businesses into the problems they face and aids in identifying new opportunities. It further helps businesses to solve more complex problems and make smarter decisions. DM is a potentially powerful tool for companies; however, more research is needed to measure the benefits of DM. This paper represents a study of the effectiveness of DM in a commercial perspective. First, statistical issues are given. It is followed by data accuracy and standardisation. Diverse problems related to the information used for conducting a DM research are identified. Also, the technical challenges and potential roadblocks in an organisation itself are described.

Original languageEnglish
Pages (from-to)177-196
Number of pages20
JournalInternational Journal of Business Intelligence and Data Mining
Volume2
Issue number2
DOIs
StatePublished - 2 Jul 2007

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Diminishing
Data mining
Data Mining
Industry
Standardization
Business

Keywords

  • DM
  • Data mining
  • Disaster planning
  • Explanatory factors
  • Monitoring
  • Organisational issues: statistical issues
  • Usability

Cite this

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Diminishing downsides of data mining. / Wang, John; Hu, Xiaohua; Zhu, Dan.

In: International Journal of Business Intelligence and Data Mining, Vol. 2, No. 2, 02.07.2007, p. 177-196.

Research output: Contribution to journalArticle

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