Earticle

초록

영어

Patents, as technological innovation achievements and sign, are potential and intangible assets of enterprises and can enhance their core competitiveness. How to obtain useful information and knowledge from a large number of patents data, have become an urgent problem. In order to satisfy the actual needs of enterprises for patent information, the paper proposed a frame of patent information analyzing and predicting system based on data mining. We designed the function structure of the system which consists of patent data preprocessing, patent data mining and patent mining results visualization. We also introduced the implementation method of each part in the system. By using the designed patent information mining and predicting system, enterprises can automatically gained the required patent information and improve their core competitiveness.

목차

Abstract
 1. Introduction
 2. Related Works
 3. System Design and System Structure
  3.1. System Function Analysis
  3.2. System Structure Design
 4. System Implementation
  4.1. Patent Information Preprocessing
  4.2. Patent Information Mining
  4.3. Patent Information Visualization
 5. Conclusions
 References

키워드

저자

• Yang Liu [ Harbin University of Science and Technology, Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605