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dc.contributor.authorShih, MJen_US
dc.contributor.authorLiu, DRen_US
dc.contributor.authorLiau, Cen_US
dc.contributor.authorLai, CHen_US
dc.date.accessioned2014-12-08T15:25:53Z-
dc.date.available2014-12-08T15:25:53Z-
dc.date.issued2004en_US
dc.identifier.isbn7-5062-7342-Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/18335-
dc.description.abstractAn organization's environment is increasingly complex. Business demand on environmental scanning has significantly increased in recent years due to an attempt to assist management in planning an organization's strategies and responses. The conventional technique for environmental scanning is event detection from text documents such as news stories. Event detection methods recognize events while they neglect to discover the changes of events. This work develops an event change detection (ECD) approach that combines association rule mining and change mining techniques. Detecting changes of events aids managers in making fast responses to the change of external environments. Association rule mining is employed to discover the subject behaviors of events from news stories. Changes of events are identified by comparing the subject behaviors of events from different time periods. The discovered event changes can provide effective decision support for decision makers to capture environmental information in a timely manner and make adequate decisions.en_US
dc.language.isoen_USen_US
dc.subjectenvironmental scanningen_US
dc.subjectchange miningen_US
dc.subjectassociation rule miningen_US
dc.subjectevent trackingen_US
dc.subjectevent detectionen_US
dc.titleMining the change of events in environmental scanning for decision supporten_US
dc.typeProceedings Paperen_US
dc.identifier.journalSHAPING BUSINESS STRATEGY IN A NETWORKED WORLD, VOLS 1 AND 2, PROCEEDINGSen_US
dc.citation.spage1156en_US
dc.citation.epage1161en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000226778000210-
Appears in Collections:Conferences Paper