A Novel Approach to Improve Classification to Make Accurate Prediction for Heart Disease

dc.contributor.guideG Lavanya Devi and Allam Appa Rao
dc.coverage.spatial
dc.creator.researcherA Daveedu Raju
dc.date.accessioned2023-04-21T05:06:55Z
dc.date.available2023-04-21T05:06:55Z
dc.date.awarded2014
dc.date.completed2013
dc.date.registered
dc.description.abstractquotThe volume of data and information available has increased enormously due newlineto advanced sophistications made in the data storage and information technology. newlineObtaining useful information from the available raw data is always a challenging task. newlineHence it is essential to adopt proper methodology for obtaining righteous information. newlinePrior to application of data mining tasks such as classification or clustering, the raw newlinedata has to be preprocessed. Good quality of data is a prerequisite for a well realized newlinedata analysis. Data preprocessing plays a pivotal role in successful data mining. Most newlineof the researchers concentrate only on few phases of data mining. Thus the required newlineknowledge is missing from the mined data which in turn leads to ambiguity or newlineinaccuracy in the decisions extracted. Therefore data preprocessing has to be given newlineutmost priority.quot newline newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent157 pg
dc.identifier.urihttp://hdl.handle.net/10603/478271
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science and Systems Engineering
dc.publisher.placeVishakhapatnam
dc.publisher.universityAndhra University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.titleA Novel Approach to Improve Classification to Make Accurate Prediction for Heart Disease
dc.title.alternative
dc.type.degreePh.D.

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