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The Application of Closed Frequent Itemsets on Patent Text for Technological Evolution Analysis
Received date: 2015-12-30
Revised date: 2016-02-22
Online published: 2016-03-20
[Purpose/significance] This paper applies closed frequent itemsets on patent text for highlight of main technology paths on certain field.[Method/process] During mining frequent closed itemsets, we take terminologies as transaction, take words in terminologies as items, then extract association rules among these closed frequent itemsets to generate technology roadmap.[Result/conclusion] We apply this method on technology of hard disk drive head, and the empirical result shows that it can describe the merging and splitting process among different terminologies, thus enable to generate technology roadmap which is more approximate to reality.
Chen Liang , Zhang Jing , Yang Guancan , Lei Xiaoping . The Application of Closed Frequent Itemsets on Patent Text for Technological Evolution Analysis[J]. Library and Information Service, 2016 , 60(6) : 70 -76 . DOI: 10.13266/j.issn.0252-3116.2016.06.011
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