Data mining is vast field for mining knowledge in various fields of life. Crime mining is one of the applications focused here. Credit card and web based crime are increasingly as more technologies are rising high. To deal and overcome fraud clustering and classification techniques are implemented. Framework and process models are designed that provide user results, graphs and trees that help user to find criminals without any complex computation.
목차
Abstract 1. Introduction 2. Application of Data Mining in Crime Detection 3. Conclusion and Future Work References
Muhammad Arif [ Faculty of Computer Science and Information Technology, University of Malaya 50603 Kuala Lumpur, Malaysia, Computer Science Department, Comsats Institute of Information and Technology Islamabad Pakistan ]
Khubaib Amjad Alam [ Faculty of Computer Science and Information Technology, University of Malaya 50603 Kuala Lumpur, Malaysia ]
Mehdi Hussain [ Faculty of Computer Science and Information Technology, University of Malaya 50603 Kuala Lumpur, Malaysia, School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad Pakistan ]
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
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 u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.8 No.2