@article{(Open Science Index):https://publications.waset.org/pdf/10001366, title = {Online Forums Hotspot Detection and Analysis Using Aging Theory}, author = {K. Nirmala Devi and V. Murali Bhaskaran}, country = {}, institution = {}, abstract = {The exponential growth of social media arouses much attention on public opinion information. The online forums, blogs, micro blogs are proving to be extremely valuable resources and are having bulk volume of information. However, most of the social media data is unstructured and semi structured form. So that it is more difficult to decipher automatically. Therefore, it is very much essential to understand and analyze those data for making a right decision. The online forums hotspot detection is a promising research field in the web mining and it guides to motivate the user to take right decision in right time. The proposed system consist of a novel approach to detect a hotspot forum for any given time period. It uses aging theory to find the hot terms and E-K-means for detecting the hotspot forum. Experimental results demonstrate that the proposed approach outperforms k-means for detecting the hotspot forums with the improved accuracy. }, journal = {International Journal of Computer and Information Engineering}, volume = {9}, number = {4}, year = {2015}, pages = {978 - 982}, ee = {https://publications.waset.org/pdf/10001366}, url = {https://publications.waset.org/vol/100}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 100, 2015}, }