STURTURE OF MERGING OF DOMAIN IN HIDDEN WEB DATABASE

Authors

  • Ms MINAKSHI HOODA Research Scholar CMJ University, Shillong Meghalaya

Keywords:

DOMAIN, WEB DATABASE, indiscriminately

Abstract

In this paper, a technique for automatic classification of Hidden-Web databases is self-addressed. In our approach, the classification tree for Hidden net databases is built by craft the well accepted classification tree of DMOZ Directory. Then the feature for every category is extracted from indiscriminately selected net documents within the corresponding class. For every net database, question terms area unit chosen from the category options supported their weights. A hidden-web information is then probed by analysing the results of the class-specific question. To boost the performance any, we tend to conjointly use websites which have links inform to the hidden-web information (HW-DB) as another important supply to represent the information. We tend to mix link-based analysis and query-based inquisitor as our final classification resolution.

References

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Published

30-07-2012

How to Cite

Ms MINAKSHI HOODA. (2012). STURTURE OF MERGING OF DOMAIN IN HIDDEN WEB DATABASE. International Journal for Research Publication and Seminar, 1(1), 72–76. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/2

Issue

Vol. 1 No. 1 (2012): Volume 1 | Issue 1 | 2012

Section

Original Research Article

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