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Introduction to Data Mining

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Introduction to Data Mining

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  1. Data Mining: Introduction, Typesand Elements

  2. Contents: Introduction TypesofDataMining ElementsofDataMining Conclusion

  3. Introduction Whenweextract beneficial informationfrom the huge volume of data,thisprocessis calledasData Mining.

  4. TypesofDataMining DescriptiveDataMiningAnalysis Descriptivedatamininganalysis involvestheprocessifconverting provideddataintousefulinformation. DescriptiveDataminingisfurther classifiedintosummarizationanalysis, sequencediscoveryanalysis,association rulesanalysisandclusteringanalysis.

  5. PredictiveDataMiningAnalysis Asthenamemanifest,predictivedata miningistheanalysisofallthedatathat canbehelpfultopredictthefuture outcomes.Itisfurtherclassifiedinto regression analysis, prediction analysis, time-serious analysis and classification analysis.

  6. ElementsofDataMining: Extraction,TransformationandLoading Dataminingextracts,transformand loadsthedatatowardsdatawarehouse system. StoringandManagingdata Itstoresandmanagestheextracted datainamultidimensionaldatasystem.

  7. DataAccess Itprovidesdataaccesstoinformation technologyprofessionalsanddata analystssotoworkfurther. DataAnalyzing Itanalysesthedatathroughthe applicationsoftwareandpresentdata intousefulstructure.

  8. Conclusion Dataminingistheprocesswhich helps the businesses to analyze consumer's behaviourandtheirinsights.Italso enhancesthequalityofdecisionsand improvessecurity.Itisconsideredas oneofthemosteffectivewaysto improveforecastingand planning.

  9. ContactUs +61280113341 Needassistance withyourDataMining Assignments? Weareheretoassist you!! support@assignmentachievers.com www.assignmentachievers.com

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