The data distribution in the data streams usually changes dynamically with time. Traditional mining algorithms based on transaction are difficult to establish the correlation between time characteristics and relationship features, thus making the results inaccurate. By analyzing the problems in the processing of time data stream, we put forward the concept of time gap degrees and design a mining algorithms based on weighted FP-Tree. We introduce the concept of FP-Tree node weights to transform the time data dynamically and excavate the data stream association rules. The experiments performed on the actual data set show that the algorithm can improve the recall and precision while consumes comparable computational time.
목차
Abstract 1. Introduction 2. Related Descriptions 2.1. Time Gap Degree 2.2. The Relevant Definitions 3. Weighted FP-Tree Algorithm 3.1. The Description of FP-Growth Algorithm 3.2. The Contribution Process of Weighted FP-Tree 3.3. Weighted FP-Growth Algorithm 3.4. The Prototype Case of FPSPAN-Tree 4. Experiments 4.1. The Space Complexity Analysis of the FPSPAN-Growth Algorithm 4.2. The Time Complexity Analysis of the FPSPAN-Growth Algorithm 4.3. Simulation Experiments 4.4. Executive Time Experiment 4.5. Comparison of Generation Rules 4.6. The Evaluation of the Derivation Rules 5. Conclusion References
키워드
time data flowweighted FP-Treedata miningassociation rules
저자
Xiao-jun Chen [ Affiliated Hospital of Jiangsu University, School of Computer Science and Communication Engineering, JiangSu University ]
Jia Ke [ School of Computer Science and Communication Engineering, JiangSu University, School of management, Jiangsu University ]
Qian-qian Zhang [ School of Computer Science and Communication Engineering, JiangSu University ]
Xin-ping Song [ School of management, Jiangsu University ]
Xiao-ming Jiang [ School of Computer Science and Communication Engineering, Automotive Engineering Research Institute, Jiangsu University ]
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.1