In this study, we propose a new metric, referred to as TFxIDFTempo and develop a temporal-based event episode discovery technique that uses the proposed TFxIDF ...
In this study, we propose a new metric, referred to as TFxIDF Tempo and develop a temporal-based event episode discovery technique that uses the proposed TFxIDF ...
In this study, we propose a new metric, referred to as TF×IDFTempo and develop a temporal-based event episode discovery technique that uses the proposed. TF× ...
In this study, we propose a new metric, referred to as TFxIDFTempo and develop a temporal-based event episode discovery technique that uses the proposed ...
We propose a time-adjoining frequent itemset-based method that incorporates essential temporal characteristics of news articles for event episode discovery.
An unsupervised approach to explore event evolution patterns through extracting atomic event from documents, identifying their co-reference, and measuring ...
Aug 15, 2024 · The authors developed a temporal based method to effectively discover event episodes from a sequence of news documents pertaining to a specific ...
(PDF) A Temporal Frequent Itemset-Based Clustering Approach ...
www.academia.edu › A_Temporal_Freq...
We define three kinds of event relationships which are temporal relationship, content dependence relationship, and event reference relationship for identifying ...
In addition, the use of TF×Enhanced-IDFTempo significantly improves the effectiveness of event episode discovery when compared with the use of TF×IDFTempo.
In this paper, we formally define the problem of event evolution phases discovery. We introduce a novel and principled model (called EPD), aiming at temporally ...