| dc.contributor.advisor | Ashis Kumar Mandal | |
| dc.contributor.author | Duke, Sanjoy Roy | |
| dc.date.accessioned | 2022-04-23T03:48:26Z | |
| dc.date.available | 2022-04-23T03:48:26Z | |
| dc.date.issued | 2012-01 | |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/535 | |
| dc.description | Of 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. | en_US |
| dc.description.abstract | In 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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | HAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY, DINAJPUR. | en_US |
| dc.subject | A DATA MINING APPROACH | en_US |
| dc.subject | oBIECTIVES OF BY | en_US |
| dc.subject | CLASSIFY NAIVE BAYES TEXT | en_US |
| dc.title | NEWS FILTERING VIA NAIVE BAYES TEXT CLASSIFICATION: A DATA MINING APPROACH | en_US |
| dc.type | Thesis | en_US |
