11th Joint International Conference on Information Sciences

Clustering Blog Information

Authors
Mayank Prakash Jaiswal 0, H. Chris Tseng
Corresponding Author
Mayank Prakash Jaiswal
0San Jose State University, California, USA
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.7How to use a DOI?
Keywords
Cluster, Blog, Information Retrieve, TFIDF, FCM
Abstract
Blogs form an important source of information in today’s internet world. Most of the blog websites have the blogs arranged in chronological order rather than its con-tents. Such arrangement of blogs makes it difficult for the user searching information about a particular topic from the blog. To resolve this problem, we propose an idea to cluster the blogs. There are several clustering algorithms available. The objective of this paper is to understand various steps involved in cluster-ing blog information and working of clustering algorithms, followed by detailed analysis of FCM and means to improve the clustering using FCM clustering algorithm.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.7How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Mayank Prakash Jaiswal
AU  - H. Chris Tseng
PY  - 2008/12
DA  - 2008/12
TI  - Clustering Blog Information
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.7
DO  - https://doi.org/10.2991/jcis.2008.7
ID  - Jaiswal2008/12
ER  -