模式识别与人工智能
Wednesday, Apr. 16, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2016, Vol. 29 Issue (11): 1048-1056    DOI: 10.16451/j.cnki.issn1003-6059.201611010
Researches and Applications Current Issue| Next Issue| Archive| Adv Search |
Continuous K-Nearest Neighbor Queries for Uncertain Moving Objects
YU Yanwei1, QI Jianpeng1, SONG Peng1, ZHANG Yonggang2
1.School of Computer and Control Engineering, Yantai University, Yantai 264005
2.Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012

Download: PDF (549 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  An urgent problem in location-based services is continuous K-nearest neighbor (KNN) queries for uncertain moving objects. An efficient algorithm for continuous K-nearest neighbor queries for uncertain moving objects is proposed. Firstly, two solutions, MaxMin and Rate, are proposed to predict the possible location range of the moving object in the time interval by utilizing the sampling points with velocities in the recent time window. A closed interval of minimum and maximum distances is employed to represent the distance between the query object and the moving object. Secondly, an optimized ranking method based on vague possibility decision is proposed to quickly find KNNs of the query object. Finally, experimental results on real and synthetic large-scale datasets demonstrate the effectiveness of the proposed algorithm.
Key wordsMoving Object      K-Nearest Neighbor Query      Possibility Decision Ranking     
Received: 02 March 2016     
ZTFLH: TP 391  
Fund:Supported by National Natural Science Foundation of China (No.61572419,61403328,61302065), Natural Science Foundation of Shandong Province (No.ZR2014FQ016,ZR2013FM011), Key Program for Research and Development of Shandong Province (No.J2015GSF115009), Open Project of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education of Jilin University (No.93K172014K13)
About author:: YU YanweiCorresponding author, born in 1986, Ph.D., lecturer. His research interests include data mining and distributed computing.
QI Jianpeng, born in 1992, master student. His research interests include data mining.
SONG Peng, born in 1983, Ph.D., lecturer. His research interests include machine learning and data mining.
ZHANG Yonggang, born in 1974, Ph.D., associate profe-ssor. His research interests include data mining and knowledge engineering.
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
YU Yanwei
QI Jianpeng
SONG Peng
ZHANG Yonggang
Cite this article:   
YU Yanwei,QI Jianpeng,SONG Peng等. Continuous K-Nearest Neighbor Queries for Uncertain Moving Objects[J]. , 2016, 29(11): 1048-1056.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201611010      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2016/V29/I11/1048
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn