Data Mining Techniques Analysis

Read Complete Research Material

DATA MINING TECHNIQUES ANALYSIS

Data Mining Techniques Analysis



Data Mining Techniques Analysis

Introduction

Data mining refers to the process of discovering useful patterns in very large databases. It uses methods from statistics, machine learning, and database management to restructure and analyze data to extract knowledge or information from the data. Data mining is also known as knowledge discovery in databases (KDD). (Thuraisingham, 1999)

Data mining is used in a wide range of enterprises. Examples include fraud detection in banking, market segmentation, campaign optimization, genetics research, telecommunications customer turnover prevention, Web site optimization, and crime prevention. (Ripley, 1996)

Modeling Procedures Used in Data Mining

Data miners ...
Related Ads
  • Crime Data Mining
    www.researchomatic.com...

    In this paper, we review data mining techniques ...

  • Data Mining
    www.researchomatic.com...

    Next Generation Techniques : Trees, Networks a ...

  • Data Mining
    www.researchomatic.com...

    The target of the analysis is to specify a re ...

  • Data Mining
    www.researchomatic.com...

    Data mining refers to the statistical anal ...

  • Data Mining
    www.researchomatic.com...

    Data mining is defined as the process of extr ...