Earticle

초록

영어

Data stream is a continuous, time varying, massive and infinitely ordered sequence of data elements. The streaming data are fast changing with time, it is impossible to acquire all the elements in a data stream. Therefore, each data element should be examined at most once in data streams. Memory usage for mining data stream should be limited due to the new data elements are continuously generated from the streams. It is essential to ensure that newly arrived stream should be immediately available whenever it is requested made this task much challenging and necessary for fraud detection in stream, taking out knowledge, for business improvement and other applications where data arrived in stream. This paper tries to highlight important issues and research challenges of data stream by means of a comprehensive review.

목차

Abstract
 1. Introduction
 2. Application of Data Mining in Crime Detection
 3. Conclusion and Future Work
 References

키워드

저자

• 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, Computer Science Department, Comsats Institute of Information and Technology Islamabad Pakistan ]
• 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 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605