標題: Discovering competitive intelligence by mining changes in patent trends
作者: Shih, Meng-Jung
Liu, Duen-Ren
Hsu, Ming-Li
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: Change mining;Patent analysis;Competitive intelligence;Knowledge discovery
公開日期: 1-四月-2010
摘要: Obtaining sufficient competitive intelligence is a critical factor in helping business managers gain and maintain competitive advantages. Patent data is an important source of competitive intelligence that enterprises can use to gain a strategic advantage. Under existing approaches, to detect changes in patent trends, business managers must rely on patent analysts to compare two patent analysis charts of different time periods. The discovery of change of trends currently still needs laborious human efforts and no efficient computer-based approaches are available for helping this task. In this paper, we propose a patent trend change mining (PTCM) approach that can identify changes in patent trends without the need for specialist knowledge. The proposed approach consists of steps including patent collection, patent indicator calculation, and change detection. In change detection phase the approach firstly excavate rules between two different time periods, comparing them to determine the trend changes. These trend changes are then classified into four categories of change, evaluated with change degree and ranked by their change degree as the output information to be referred by decision makers. We apply the PTCM approach to Taiwan's semiconductor industry to discover changes in four types of patent trends: the R&D activities of a company, the R&D activities of the industry, company activities in the industry and industry activities generally. The proposed approach generates competitive intelligence to help managers develop appropriate business strategies. (C) 2009 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2009.09.001
http://hdl.handle.net/11536/5560
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2009.09.001
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 37
Issue: 4
起始頁: 2882
結束頁: 2890
顯示於類別:期刊論文


文件中的檔案:

  1. 000274202900020.pdf