LIPED: HMM-based life profiles for adaptive event detection

Authors:
Chien Chin Chen;Meng Chang Chen;Ming-Syan Chen
Affiliations:
Academia Sinica, Taiwan & National Taiwan University, Taiwan;Academia Sinica, Taiwan;National Taiwan University, Taiwan
Venue:
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Year:
2005

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Abstract

In this paper, the proposed LIPED (LIfe Profile based Event Detection) employs the concept of life profiles to predict the activeness of event for effective event detection. A group of events with similar activeness patterns shares a life profile, modeled by a hidden Markov model. Considering the burst-and-diverse property of events, LIPED identifies the activeness status of event. As a result, LIPED balances the clustering precision and recall to achieve better F1 scores than other well known approaches evaluated on the official TDT1 corpus.