Data mining Algorithm’s Variant Analysis

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1

Abstract

 Abstract: The Data Mining is extricating or mining information from extensive volume of information.Information mining frequently includes the examination of information put away in an information distributioncenter. This paper examines the three noteworthy information mining calculations: Association, classificationand clustering. Classification is the procedure of looking connections between variables in gave database.Clustering comprises of anticipating a certain result focused around given information. Clustering is aprocedure of dividing a set of data(or items) into a set of important sub-classes, called clusters. Execution of the3 techniques is exhibited utilizing WEKA apparatus.

Authors and Affiliations

Kiranpreet, , Ramandeep Kaur , Sourabh Sahota , Prince Verma

Keywords

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  • EP ID EP100287
  • DOI -
  • Views 105
  • Downloads 0

How To Cite

Kiranpreet, , Ramandeep Kaur, Sourabh Sahota, Prince Verma (2015).  Data mining Algorithm’s Variant Analysis. IOSR Journals (IOSR Journal of Computer Engineering), 17(1), 33-42. https://europub.co.uk./articles/-A-100287