Case-Based Reasoning (CBR) is widely used for problem solving in many fields, but there still exist limitations for the problems with dynamic characteristics. This work tries to introduce approaches in Sequence Pattern Mining (SPM) to extend the capability of CBR for solving problems described with sequential data. We propose a SPM algorithm named wGSP, which takes user’s different concerns on events into consideration by weight setting, to discover typical patterns in case base. Then the support information of cases to typical patterns is used to depict cases and facilitate efficient case retrieval. The contribution of this work lies in two aspects: firstly it is an improvement to traditional CBR method for coping with sequential data based cases with better interpretability and higher efficiency; secondly, it provides flexibility for parameters setting in SPM to satisfy the personalized preferences of users. Finally through a calculating instance, the advantages and effectiveness of the two-step CBR method based on sequential data is illustrated.
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.9 No.10