Mining changes in patent trends for competitive intelligence

Meng Jung Shih*, Duen-Ren Liu, Ming Li Hsu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations


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 comparing two patent analysis charts of different time periods, it requires human effort and time. In this paper, we propose a patent trend change mining (PTCM) technique that can identify changes in patent trends without the need for specialist knowledge. 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 change mining approach generates competitive intelligence to help managers develop appropriate business strategies based on their findings.

Original languageEnglish
Title of host publicationAdvances in Knowledge Discovery and Data Mining - 12th Pacific-Asia Conference, PAKDD 2008, Proceedings
Number of pages7
StatePublished - 10 Jun 2008
Event12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008 - Osaka, Japan
Duration: 20 May 200823 May 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5012 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008


  • Change mining
  • Competitive intelligence
  • Patent trend


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