標題: Mining the change of event trends for decision support in environmental scanning
作者: Liu, Duen-Ren
Shih, Meng-Jung
Liau, Churn-Jung
Lai, Chin-Hui
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Information processing and management;Association rule mining;Change mining;Environmental scanning;Event detection;Event tracking
公開日期: 1-Mar-2009
摘要: As the business environment has become increasingly complex, the demand for environmental scanning to assist company managers plan strategies and responses has grown significantly. The conventional technique for supporting environmental scanning is event detection from text documents such as news stories. Event detection methods recognize events, but neglect to discover the changes brought about by the events. In this work, we propose an event change detection (ECD) approach that combines association rule mining and change mining techniques. The approach detects changes caused by events to help managers respond rapidly to changes in the external environment. Association rule mining is used to discover event trends (the subject patterns of events) from news stories. The changes can be identified by comparing event trends in different time periods. The empirical evaluation showed that the discovered event changes can support decision-makers by providing up-to-date information about the business environment, which enables them to make appropriate decisions. The proposed approach is practical for business managers to be aware of environmental changes and adjust their business strategies accordingly. (C) 2007 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2007.10.016
http://hdl.handle.net/11536/7548
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2007.10.016
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 36
Issue: 2
起始頁: 972
結束頁: 984
Appears in Collections:Articles


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