%0 Conference Paper %1 Winster:2012:HCT:2345396.2345561 %A Winster, S. Godfrey %A Swamynathan, S. %B Proceedings of the International Conference on Advances in Computing, Communications and Informatics %C New York, NY, USA %D 2012 %I ACM %K Blogs Clustering Cosien_Similarity Taxonomy %P 1027--1033 %R 10.1145/2345396.2345561 %T Hierarchically clustered technical blogs %U http://doi.acm.org/10.1145/2345396.2345561 %X Social network captivate huge number of users for learning, advertising, entertaining etc. Blogging is one of the key roles in social environment. Blogs are available in plenty for entertainment, business and educating the blog readers in the World Wide Web. The number of blogs available for technical discussion is numerous and the same can be accessed by the learner for gaining more knowledge from the web. In the current scenario if the blog reader searches the web for a topic, huge number of blogs are retrieved. These blogs are collection of different relevant, irrelevant and non- English language blogs. Blog readers face tedious problem in reading the relevant and useful blogs. In this paper a novel idea is proposed to cluster the blogs according to the document similarity using Hierarchical Agglomerative Clustering. This clustering uses the pre-computed similarity value. This clustering can work to give the users an overview of the contents of a document collection and makes the searching process easier. The experimental result shows that the proposed work yields better results than the other clustering approaches. %@ 978-1-4503-1196-0

@inproceedings{Winster:2012:HCT:2345396.2345561, abstract = {Social network captivate huge number of users for learning, advertising, entertaining etc. Blogging is one of the key roles in social environment. Blogs are available in plenty for entertainment, business and educating the blog readers in the World Wide Web. The number of blogs available for technical discussion is numerous and the same can be accessed by the learner for gaining more knowledge from the web. In the current scenario if the blog reader searches the web for a topic, huge number of blogs are retrieved. These blogs are collection of different relevant, irrelevant and non- English language blogs. Blog readers face tedious problem in reading the relevant and useful blogs. In this paper a novel idea is proposed to cluster the blogs according to the document similarity using Hierarchical Agglomerative Clustering. This clustering uses the pre-computed similarity value. This clustering can work to give the users an overview of the contents of a document collection and makes the searching process easier. The experimental result shows that the proposed work yields better results than the other clustering approaches.}, acmid = {2345561}, added-at = {2012-09-10T09:59:47.000+0200}, address = {New York, NY, USA}, author = {Winster, S. Godfrey and Swamynathan, S.}, biburl = {https://www.bibsonomy.org/bibtex/2fac78a0f659b4f2a133ea166e144cda2/rennerc}, booktitle = {Proceedings of the International Conference on Advances in Computing, Communications and Informatics}, description = {Hierarchically clustered technical blogs}, doi = {10.1145/2345396.2345561}, interhash = {b469f038f56d35ffd95d2f6df7c6372e}, intrahash = {fac78a0f659b4f2a133ea166e144cda2}, isbn = {978-1-4503-1196-0}, keywords = {Blogs Clustering Cosien_Similarity Taxonomy}, location = {Chennai, India}, numpages = {7}, pages = {1027--1033}, publisher = {ACM}, series = {ICACCI '12}, timestamp = {2012-09-10T09:59:47.000+0200}, title = {Hierarchically clustered technical blogs}, url = {http://doi.acm.org/10.1145/2345396.2345561}, year = 2012 }