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A Study on Excellent Patent Selection Method using Decision Tree Learning Algorithm

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2012, 7(2), pp.163-174
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : April 30, 2012

이수영 1 Moon, Jongsub 1

1고려대학교

Accredited

ABSTRACT

Changes in intellectual property society, knowledge of the conversion cycle is short. Apply the product development and commercialization of research in the field of information technology, the timing is very important. Thus, changes in technology to quickly detect and identify the key technical efforts in order to more qualitative analysis, it is becoming necessary. In this paper, Excellent technique patents, how to selectively focused on data mining techniques are presented. If analysis of the elements of a patent document it is a mixture of quantitative and nominal scale. Given this, Evaluation factors for the evaluation of patent documents, filed identifying characteristics, data normalization, and a critical evaluation of feature extraction process to extract elements and appropriate input parameters were selected. And utilizing the results of expert evaluation of decision tree learning algorithm has built a predictive model of teacher learning. As a result, the results of the verification test data showed a 70.8 percent through a decision tree analysis, patent experts how to excellent screening and see if you can. Through this interest in technology the excellent patent can be analyzed objectively and quickly.

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