Community Question Answering (CQA) is becoming a popular Web 2.0 application. By analyzing evolutionary topic patterns from CQA applications, one can gain insights into user interests and user responses to external events. This paper proposes a novel evolutionary topic pattern mining approach. This approach consists of three components: 1) extraction of the topics being discussed through a temporal

analysis; 2) discovery of topic evolutions and construction of evolutionary graphs of extracted topics; and 3) life cycle modeling of the extracted topics. We show empirically the effectiveness of our approach using two real-world data sets

The Indian Journal of Technical Education is published by the Indian Society for Technical Education quarterly with the aim of providing an appropriate platform by presenting well-considered, meaningfully, constructively thought provoking, non-political and non-controversial, but critically analysing and synthesising present and future Aspects Of the System of Technical Education with particular reference to our country. Taxpayers are expected to highlight various topics of Technical Education (incorporating disciplines of Engineering, Technology, Management, Architecture and Pharmacy, etc.), along with significant suggestions for solution, refinement and innovations.