DocumentCode :
3181695
Title :
Using text mining and chance discovery for exploring technological directions via patent data
Author :
Chiu, Tzu-Fu ; Chao-Fu Hong ; Chia-Ling Hsu ; Chiu, Yu-Ting
Author_Institution :
Dept. of Ind. Manage. & Enterprise Inf., Aletheia Univ., Taipei, Taiwan
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
3853
Lastpage :
3860
Abstract :
To work out the situation and directions of a technology is essential for an industry, companies, and stakeholders so as to facilitate the decision makers to bring up rational judgments for their decisions. Solar cell, one of renewable energies, is growing at a fast pace with its long-lasting and non-polluting natures. In order to explore the situation and directions of technology, two approaches, namely text mining and chance discovery are employed to conduct the cluster analysis and association analysis on the patent data. Consequently, the technical topics have been found after similarity measurement; the subtopics and relations have been recognized after KeyGraph generation and data crystallization. Finally, according to the relation patterns, the situation and directions of thin-film solar cell have been identified and stated.
Keywords :
data mining; decision making; patents; solar cells; statistical analysis; KeyGraph generation; association analysis; chance discovery; cluster analysis; data crystallization; decision makers; patent data; relation patterns; stakeholders; text mining; thin film solar cell; Annealing; Films; chance discovery; patent data; technological directions; text mining; thin-film solar cell;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5641964
Filename :
5641964
Link To Document :
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