IDEAS home Printed from https://ideas.repec.org/h/pal/palchp/978-1-137-40619-4_5.html
   My bibliography  Save this book chapter

The Data Mining Process: Problem Identification

In: Data Mining for Managers

Author

Listed:
  • Richard Boire

Abstract

With CRM becoming more of a business practice for most organizations today, data mining is often viewed as the analytical technology component required for achieving a given solution. Does this describe the true nature of data mining? Many people consider data mining as a technological component and think that purchasing the right software and hardware is the key to effective data mining. Other schools of thought regard the use of statistics and/or computer programming together with machine-learning algorithms as the essential component of data mining. Yet, these preconceived notions miss the mark because they focus on specific components in the overall data mining process. Data mining is a step-by-step process requiring humans to interact with technology in order to produce the best business solution for a given process. So what is this data mining process?

Suggested Citation

  • Richard Boire, 2014. "The Data Mining Process: Problem Identification," Palgrave Macmillan Books, in: Data Mining for Managers, chapter 0, pages 29-40, Palgrave Macmillan.
    • Handle: RePEc:pal:palchp:978-1-137-40619-4_5
    DOI: 10.1057/9781137406194_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palchp:978-1-137-40619-4_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.