Two-phase edge outlier detection method for technology opportunity discovery

被引：3
|
作者：
Byunghoon Kim
Gianluca Gazzola
Jaekyung Yang
Jae-Min Lee
Byoung-Youl Coh
Myong K. Jeong
Young-Seon Jeong
机构：
[1] Korea Institute of Science and Technology Information,Technology Commercialization Analysis Center
[2] Rutgers Business School,Rutgers Center for Operations Research
[3] Chonbuk National University,Department of Industrial and Information Systems Engineering
[4] Korea Institute of Science and Technology Information,Future Information Research Center
[5] Rutgers University,Department of Industrial and Systems Engineering
[6] Chonnam National University,Department of Industrial Engineering
来源：
Scientometrics | 2017年 / 113卷
关键词：
Edge outlier; Outlier detection; Technology convergence; Technology opportunity discovery; Patent citation network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This article introduces a method for identifying potential opportunities of innovation arising from the convergence of different technological areas, based on the presence of edge outliers in a patent citation network. Edge outliers are detected via the assessment of their centrality; pairs of patents connected by edge outliers are then analyzed for technological relatedness and past involvement in technological convergence. The pairs with the highest potential for future convergence are finally selected and their keywords combined to suggest new directions of innovation. We illustrate our method on a data set of US patents in the field of digital information and security.
引用
收藏
页码：1 / 16
页数：15
相关论文
共 50 条
  • [21] A two-phase level tracking method
    Aktas, B
    Mahaffy, JH
    NUCLEAR ENGINEERING AND DESIGN, 1996, 162 (2-3) : 271 - 280
  • [22] A two-phase level tracking method
    Pennsylvania State University, Department of Nuclear Engineering, University Park, PA 16802, United States
    Nucl Eng Des, 2-3 (271-280):
  • [23] Two-Phase Image Segmentation by the Allen-Cahn Equation and a Nonlocal Edge Detection Operator
    Qiao, Zhonghua
    Zhang, Qian
    NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2022, 15 (04): : 1147 - 1172
  • [24] Linear phase detection using two-phase latch
    Tajalli, A
    Atarodi, M
    ELECTRONICS LETTERS, 2003, 39 (24) : 1695 - 1696
  • [25] A Two-Phase Fashion Apparel Detection Method Based on YOLOv4
    Lee, Chu-Hui
    Lin, Chen-Wei
    APPLIED SCIENCES-BASEL, 2021, 11 (09):
  • [26] Two-phase clustering process for outliers detection
    Jiang, MF
    Tseng, SS
    Su, CM
    PATTERN RECOGNITION LETTERS, 2001, 22 (6-7) : 691 - 700
  • [27] Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery
    Guo, Pei
    Huang, Yiyi
    Wang, Jianwu
    Big Data Research, 2021, 26
  • [28] A two-phase algorithm for fast discovery of high utility itemsets
    Liu, Y
    Liao, WK
    Choudhary, A
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2005, 3518 : 689 - 695
  • [29] Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery
    Guo, Pei
    Huang, Yiyi
    Wang, Jianwu
    BIG DATA RESEARCH, 2021, 26
  • [30] Point force and edge dislocation in a two-phase anisotropic medium
    Chen, DH
    ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND PHYSIK, 1996, 47 (04): : 617 - 630
12345