Data Mining for Business Applications

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  • Author(s): Ghani, Rayid; Soares, Carlos
  • Series:
    Frontiers in Artificial Intelligence and Applications, v. 218
  • Publication Information:
    Amsterdam : IOS Press. 2010
  • Additional Information
    • Publication Type:
      eBook.
    • Abstract:
      'Data mining is already incorporated into the business processes in many sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This technology is well established in applications such as targeted marketing, customer churn detection and market basket analysis. It is also emerging as an important technology in a wide range of new application areas, such as social media, social networks and sensor networks. These areas pose new challenges both in terms of the nature of available data and the underlying support technology. This book contains extended versions of a selection of papers presented at a series of workshops held between 2005 and 2008 on the subject of data mining for business applications. It covers the entire spectrum of issues involved in the development of data mining systems. Areas covered include methodological issues and research challenges, typical problems for which data mining has proved to be an invaluable tool, and innovative applications of data mining which make this an exciting field to work in. The contributions illustrate the importance of maintaining close contact between researchers and practitioners: it is essential that researchers are exposed to and motivated by the real problems and practical constraints experienced by organizations, and practitioners need to interact with the research community to identify new opportunities to apply the latest technology. This book will be of interest not only to data mining researchers and practitioners, but also to students seeking a better understanding of the practical issues involved in building data mining systems.'
    • Subject Terms:
    • Subject Terms:
    • Related ISBNs:
      9781607506324. 9781607506331.
    • Accession Number:
      702533244
    • Accession Number:
      351779
    • Publication Information:
      Print/Save 100 pages
      Copy/Paste Allowed
  • Citations
    • ABNT:
      GHANI, R.; SOARES, C. Data Mining for Business Applications. Amsterdam: IOS Press, 2010. Disponível em: . Acesso em: 18 out. 2019.
    • AMA:
      Ghani R, Soares C. Data Mining for Business Applications. Amsterdam: IOS Press; 2010. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=351779&custid=s8280428. Accessed October 18, 2019.
    • APA:
      Ghani, R., & Soares, C. (2010). Data Mining for Business Applications. Amsterdam: IOS Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=351779&custid=s8280428
    • Chicago/Turabian: Author-Date:
      Ghani, Rayid, and Carlos Soares. 2010. Data Mining for Business Applications. Frontiers in Artificial Intelligence and Applications. Amsterdam: IOS Press. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=351779&custid=s8280428.
    • Harvard:
      Ghani, R. and Soares, C. (2010) Data Mining for Business Applications. Amsterdam: IOS Press (Frontiers in Artificial Intelligence and Applications). Available at: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=351779&custid=s8280428 (Accessed: 18 October 2019).
    • Harvard: Australian:
      Ghani, R & Soares, C 2010, Data Mining for Business Applications, Frontiers in Artificial Intelligence and Applications, IOS Press, Amsterdam, viewed 18 October 2019, .
    • MLA:
      Ghani, Rayid, and Carlos Soares. Data Mining for Business Applications. IOS Press, 2010. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=351779&custid=s8280428.
    • Chicago/Turabian: Humanities:
      Ghani, Rayid, and Carlos Soares. Data Mining for Business Applications. Frontiers in Artificial Intelligence and Applications. Amsterdam: IOS Press, 2010. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=351779&custid=s8280428.
    • Vancouver/ICMJE:
      Ghani R, Soares C. Data Mining for Business Applications [Internet]. Amsterdam: IOS Press; 2010 [cited 2019 Oct 18]. (Frontiers in Artificial Intelligence and Applications). Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=351779&custid=s8280428