A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Clustering Based Approach for Novelty Detection in Text Documents
2019
Asian Journal of Computer Science and Technology
As the information is overloaded over the internet accessing of information from the internet according to a given query provides redundant and irrelevant information. It is necessary to retrieve relevant and novel information from a given query by the user. With the result of this the user will require minimum effort to access the information need. In this work we proposed a clustering based approach for novelty detection which will provide the relevant and novel documents for the information
doi:10.51983/ajcst-2019.8.2.2130
fatcat:6ihk2rfqxzhlvdlsvumxw6lxt4