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Details for article 62 of 122 found articles
| Title: |
Finding Interesting Relationships among Documents in DDB |
| Author: |
K.REDDY MADHAVI, DR. A. VINAYA BABU, DR.T.V. RAJINI KANTH, M.V. RATHNAMMA |
| Appeared in: |
International journal of engineering science and technology |
| Paging: | Volume 3 (2011) nr. 4 pages 3071-3077 |
| Year: |
2011 |
| Contents: |
Content-based document management tasks have gained a prominent status in the information system field, due to the increased availability of documents. It is very challenging to retrieve Relevant and Related Documents from Document DataBases. The interestingness measures such as Support and Confidence are used to know the relationship and which documents are frequently retrieved, but this leads misleading and not related in some real applications. Hence Cosine is the correlation measure used in conjunction with support and confidence to get the frequent Document Sets from Document DataBases which generates correlation rules. In this paper, we present Cosine measure applied to Document DataBases. With this correlation measure and pattern interestingness measures, more concise, related, useful and relevant documents are retrieved which even helps to provide ranking for documents. |
| Publisher: |
Engg Journals Publication (provided by DOAJ) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 62 of 122 found articles
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