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      Customer Behavior Pattern Discovery by Adaptive Clustering Based on Swarm Intelligence

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      https://www.riss.kr/link?id=A106681095

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      다국어 초록 (Multilingual Abstract)

      Customer behavior pattern discovery is the fundament for conducting customer oriented services and the services management. But, the composition, need, interest and experience of customers may be continuously changing, thereof lead to the difficulty i...

      Customer behavior pattern discovery is the fundament for conducting customer oriented services and the services management. But, the composition, need, interest and experience of customers may be continuously changing, thereof lead to the difficulty in refining a stable description of their consistent behavior pattern. This paper presented a new method for the behavior pattern discovery from a changing collection of customers. It was originally inspired from the swarm intelligence of ant colony. By the adaptive clustering, some typical behavior patterns which reflect the characteristics of related customer clusters can extracted dynamically and adaptively.

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      참고문헌 (Reference)

      1 Kennedy,J, "Swarm Intelligence" Morgan Kaufmann 2001

      2 Tian,Y.M, "Region-based image retrieval system using integrative feature description" 31 (31): 167-169, 2005

      3 Machine Learning Repository, "Machine Learning Repository"

      4 Wu,Q.D, "Intelligent Particle Swarm Optimization Algorithm Research and Application" Jiangsu Education Press 2005

      5 Wu,Q.D, "Intelligent Ant Colony Algorithm and Application" Technology Press 2004

      6 Cheng,C.H, "Entropy-based subspace clustering for mining numerical data" 84-93, 1999

      7 Ng,M.K, "Data-mining massive time series astronomical data:challenges,problems and solutions" 41 (41): 545-556, 1999

      8 Jain,A.K, "Data clustering:a review" 31 (31): 264-323, 1999

      9 Ma,H, "Customer segmentation based on the share of the customer" 25 (25): 184-187, 2003

      10 Handl,J.L, "Computation cluster validation in post-genomic data analysis" 21 (21): 3201-3212, 2005

      1 Kennedy,J, "Swarm Intelligence" Morgan Kaufmann 2001

      2 Tian,Y.M, "Region-based image retrieval system using integrative feature description" 31 (31): 167-169, 2005

      3 Machine Learning Repository, "Machine Learning Repository"

      4 Wu,Q.D, "Intelligent Particle Swarm Optimization Algorithm Research and Application" Jiangsu Education Press 2005

      5 Wu,Q.D, "Intelligent Ant Colony Algorithm and Application" Technology Press 2004

      6 Cheng,C.H, "Entropy-based subspace clustering for mining numerical data" 84-93, 1999

      7 Ng,M.K, "Data-mining massive time series astronomical data:challenges,problems and solutions" 41 (41): 545-556, 1999

      8 Jain,A.K, "Data clustering:a review" 31 (31): 264-323, 1999

      9 Ma,H, "Customer segmentation based on the share of the customer" 25 (25): 184-187, 2003

      10 Handl,J.L, "Computation cluster validation in post-genomic data analysis" 21 (21): 3201-3212, 2005

      11 Liu,S.J, "Ant clustering algorithm based on swarm intelligence and its application" Fudan University 2008

      12 Zhao,W.L, "An improved ant colony clustering algorithm based on information entropy" 29 (29): 296-300, 2005

      13 Dai,W.H, "An Improved Ant Colony Optimization Cluster Algorithm Based on Swarm Intelligence" 4 (4): 299-306, 2009

      14 Dai,W.H, "A smart targeting system for online advertising" 4 (4): 778-786, 2009

      15 Bonabeau,E, ",Swarm Intelligence:From Natural to Artificial Systems" Oxford University Press 1999

      16 Mu,T, ",Research and implementation to clustering technology of browsing behavior based on swarm intelligence" Fudan University 2009

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-04-01 학회명변경 한글명 : 한국데이타베이스학회 -> 한국데이터전략학회
      영문명 : 미등록 -> Korea Data Strategy Society
      KCI등재
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-06-22 학술지명변경 한글명 : Journal of Information Technology Applications & Menagement -> Journal of Information Technology Applications & Management
      외국어명 : Journal of Information Technology Applications & Menagement -> Journal of Information Technology Applications & Management
      KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.39 0.39 0.48
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.59 0.56 0.673 0.18
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