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.

cess (e.g., the end-user may be more interested in understanding the model than its predictive capa-bilities- see Section 5.2). 7. Data mining: searching for patterns of interest in a particular representational form or a set of such rep-resentations: classification rules or trees, regression, clustering, and so forth.

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  Data, Interested, Mining, Knowledge, Discovery, Knowledge discovery and data mining

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