Title
Using text mining and chance discovery for exploring technological directions via patent data
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.
Year
DOI
Venue
2010
10.1109/ICSMC.2010.5641964
SMC
Keywords
Field
DocType
patents,relation patterns,thin-film solar cell,technological directions,decision making,statistical analysis,data crystallization,thin film solar cell,association analysis,patent data,cluster analysis,decision makers,solar cells,stakeholders,data mining,keygraph generation,chance discovery,text mining,films,decision maker,renewable energy,annealing
Data science,Text mining,Pace,Renewable energy,Thin film solar cell,Computer science,Statistical analysis
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-4244-6586-6
1
PageRank 
References 
Authors
0.38
6
4
Name
Order
Citations
PageRank
Tzu-Fu Chiu1249.15
Chao-Fu Hong25915.96
Chia-Ling Hsu3206.73
Yu-Ting Chiu4558.52