alexa Abstract | Side Information Gathering for Mining Text Data
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


In many text mining applications, side-information is available along with the text documents. Such sideinformation may be of different kinds, such as document provenance information, the links in the document, user-access behavior from b logs, or other non-textual attributes which are embedded into the text document. Such attributes may contain a tremendous amount of information for clustering purposes. Hover, the relative importance of this sideinformation may be difficult to estimate, especially when some of the information is noisy. In such cases, it can be risky to incorporate side-information into the mining process, because it can either improve the quality of the representation for the mining process, or can add noise to the process. Therefore, need a principled way to perform the mining process, so as to maximize the advantages from using this side information. In this paper, design an algorithm which combines classical partitioning algorithms with probabilistic models in order to create an effective clustering approach. then show how to extend the approach to the classification problem. present experimental results on a number of real data sets in order to illustrate the advantages of using such an approach.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Naveena.M, Karthik.R, Balaji.M

Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version