Knowledge Discovery and Data Mining: Towards a Unifying ...

Knowledge Discovery and data Mining: Towards a Unifying FrameworkUsama FayyadMicrosoft ResearchOne Microsoft WayRedmond, WA 98052, Piatetsky-ShapiroGTE Laboratories, MS 44 Waltham, MA 02154, SmythInformation and Computer ScienceUniversity of California, IrvineCA 92717-3425, paper presents a first step Towards a unifyingframework for Knowledge Discovery in Databases. Wedescribe finks between data milfing, Knowledge dis-covery, and other related fields. We then define theKDD process and basic data mining algorithms, dis-cuss application issues and conclude with an analysisof challenges facing practitioners in the IntroductionAcross a wide variety of fields, data are being collectedand accumulated at a dramatic pace. There is an ur-gent need for a new generation of computational tech-niques and tools to assist humans in extracting use-ful information ( Knowledge ) from the rapidly growingvolumes of data , These techniques and tools are thesubject of the emerging field of Knowledge discoveryin databases (KDD).

tistical approach offers precise methods for quantifying the inherent uncertainty which results when one tries to infer general patterns from a particular sample of an overall population. KDD software systems often em-bed particular statistical procedures for sampling and modeling data, evaluating hypotheses, and handling

Loading..

Tags:

  Data, Methods, Statistical, Mining, Knowledge, Discovery, Knowledge discovery and data mining

Information