• Cite/Export
  Cite/Export

  Copy a citation

  APA (6th ed.)

  

  Chicago (Author-Date, 15th ed.)

  

  Harvard (18th ed.)

  

  MLA (7th ed.)

  

  Turabian (6th ed.)

  

  Export a citation

  Export to RefWorks   Export to EndNote / Reference Manager   Export to EasyBib
  Export to EndNote / Reference Manager(non-Latin)   Cancel

  Note: Citations are based on reference standards. However, formatting rules can vary widely between applications and fields of interest or study. The specific requirements or preferences of your reviewing publisher, classroom teacher, institution or organization should be applied.
• Print
• E-mail
  E-mail

  All fields are required.

  The E-mail Address(es) field is required. Please enter recipient e-mail address(es).

  The E-mail Address(es) you entered is(are) not in a valid format. Please re-enter recipient e-mail address(es).

  You may send this item to up to five recipients.

  Enter recipient e-mail address(es): Separate up to five addresses with commas (,)

  The name field is required. Please enter your name.

  Enter your name: The subject field is required. Please enter the subject. Subject:

  The E-mail message field is required. Please enter the message.

  E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/828738652 Title: Data mining and decision support : integration and collaboration Author: Dunja Mladenić Publisher: New York : Springer Science+Business Media, 2003. ISBN/ISSN: 9781461502869 1461502861 OCLC:828738652

  
  

  Please verify that you are not a robot.

  Cancel
• Share
• Permalink
  Permalink

  Copy this URL to link to this page:

• Write a review
• Rate this item:
• • 1
  • 2
  • 3
  • 4
  • 5

Data mining and decision support : integration and collaboration

Author:	Dunja Mladenić
Publisher:	New York : Springer Science+Business Media, 2003.
Series:	Kluwer international series in engineering and computer science, SECS 745.
Edition/Format:	eBook : Document : EnglishView all editions and formats
Summary:	Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.  Read more...
Rating:	(not yet rated) 0 with reviews - Be the first.
Subjects	Data mining. Decision support systems. Data Mining View all subjects
More like this	Similar Items