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논문검색

An Effective K-Nearest Neighbor Track Retrieval Algorithm

원문정보

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

저자정보

  • Chen Wen School of Mathematics and Computer Science, Tongling College, Tongling, P. R. China

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