Clustering Blog Information
Authors
Corresponding Author
Mayank Prakash Jaiswal
Available Online December 2008.
- DOI
- 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.
- Copyright
- © 2008, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Mayank Prakash Jaiswal AU - H. Chris Tseng PY - 2008/12 DA - 2008/12 TI - Clustering Blog Information BT - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008) PB - Atlantis Press SP - 42 EP - 47 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.7 DO - 10.2991/jcis.2008.7 ID - Jaiswal2008/12 ER -