원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.9 No.3
2016.03
pp.151-160
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Due to the mass track data accumulated day by day, new challenges are raised for traditional information retrieval. This paper studies the issue of k-nearest neighbor track retrieval facing moving object, and converts this issue into aggregate Top-k query issue of information retrieval field. A parallel TA algorithm in random access database is proposed, and it has effectively solved the issue of k-nearest neighbor track retrieval. Performance of this algorithm is verified through a large number of experiments.
목차
Abstract
1. Introduction
2. Relevant Work
3. Relevant Definition
4. kNNT is Modeled Into Aggregate Top-k Query
5. Parallel TA Algorithm
6. Experimental Analysis
7. Conclusion
Acknowledgement
References
1. Introduction
2. Relevant Work
3. Relevant Definition
4. kNNT is Modeled Into Aggregate Top-k Query
5. Parallel TA Algorithm
6. Experimental Analysis
7. Conclusion
Acknowledgement
References
저자정보
참고문헌
자료제공 : 네이버학술정보