IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-1-4419-0176-7_11.html
   My bibliography  Save this book chapter

Knowledge Discovery in Textual Databases: A Concept-Association Mining Approach

In: Data Engineering

Author

Listed:
  • Mutlu Mete

    (Texas A&M University-commerce)

  • Nurcan Yuruk

    (University of Arkansas at Little Rock)

  • Xiaowei Xu

    (University of Arkansas at Little Rock)

  • Daniel Berleant

    (University of Arkansas at Little Rock)

Abstract

The number of scientific publications is exploding as online digital libraries and the World Wide Web grow. MEDLINE, the premier bibliographic database of the National Library of Medicine (NLM)National Library of Medicine (NLM) , contains about 18 million records from more than 7,300 different publications dating from 1965; it is growing by about 400,000 citations each year. The explosive growth of information in textual documents creates great need for techniques for knowledge discovery from text collections.

Suggested Citation

  • Mutlu Mete & Nurcan Yuruk & Xiaowei Xu & Daniel Berleant, 2009. "Knowledge Discovery in Textual Databases: A Concept-Association Mining Approach," International Series in Operations Research & Management Science, in: Yupo Chan & John Talburt & Terry M. Talley (ed.), Data Engineering, chapter 11, pages 225-243, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-0176-7_11
    DOI: 10.1007/978-1-4419-0176-7_11
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xu Chen & Chunhong Liu & Yao Jiang & Changchun Gao, 2021. "What Causes the Virtual Agglomeration of Creative Industries?," Sustainability, MDPI, vol. 13(16), pages 1-18, August.

    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:spr:isochp:978-1-4419-0176-7_11. 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.springer.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.