Title :
A New Method of Evolution Event Tracking Based on Variable Query
Author :
Zhao, Changwei ; Peng, Qinke ; Li, Chengwei ; Zhang, Quanwei ; Sun, Suhuan
Abstract :
As a feature co-occurrence approach, the traditional event tracking technique encounters a dilemma when setting the tracking similarity threshold that can diminish its tracking effectiveness. In this paper we present a new event tracking method-variable query, which can automatically adjust query terms and its corresponding weights according to the event evolution stages and tracking similarity, and solve the dilemma well. Experiment shows that the method of variable query can improve the precision and decrease the false rate of tracking.
Keywords :
query processing; evolution event tracking; feature co-occurrence approach; variable query; Data mining; Event detection; Fuzzy systems; Information retrieval; Internet; Knowledge engineering; Laboratories; Manufacturing systems; Sun; Systems engineering and theory;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.675