NEWS FILTERING VIA NAIVE BAYES TEXT CLASSIFICATION: A DATA MINING APPROACH

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dc.contributor.advisorAshis Kumar Mandal
dc.contributor.authorDuke, Sanjoy Roy
dc.date.accessioned2022-04-23T03:48:26Z
dc.date.available2022-04-23T03:48:26Z
dc.date.issued2012-01
dc.descriptionOf late the volume of information increases day by day. All these data are not in proper structure. This type of data are called umstructured data or information. Unstructured data is what we find in mails, messages, reports, presentations, newspapers, voice mails. These unstructured data are causing problem in recent activity.
dc.description.abstractIn recent world information increased all the time. People get data from various sources. Thus the electronic media get news and provide those news to the people all the time. They have to collect information and gather data in a particular area and also need to classify that information. This process is lengthy and difficult to maintain the accuracy of the classification in a sort of time.
dc.identifier.otherhttp://103.7.193.12:8080/xmlui/handle/123456789/535
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/535
dc.language.isoen
dc.publisherHAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY, DINAJPUR.
dc.sourceHSTU Institutional Repository
dc.subjectA DATA MINING APPROACH
dc.subjectoBIECTIVES OF BY
dc.subjectCLASSIFY NAIVE BAYES TEXT
dc.titleNEWS FILTERING VIA NAIVE BAYES TEXT CLASSIFICATION: A DATA MINING APPROACH
dc.typeThesis

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