Research Article
Efficient -Nearest Neighbor Search for Static Queries over High Speed Time-Series Streams
@INPROCEEDINGS{10.1007/978-3-319-15392-6_9, author={Bui Giao and Duong Anh}, title={Efficient -Nearest Neighbor Search for Static Queries over High Speed Time-Series Streams}, proceedings={Nature of Computation and Communication. International Conference, ICTCC 2014, Ho Chi Minh City, Vietnam, November 24-25, 2014, Revised Selected Papers}, proceedings_a={ICTCC}, year={2015}, month={2}, keywords={ -NN search Streaming time-series Multi-scale filtering Multi-resolution index structure Static query}, doi={10.1007/978-3-319-15392-6_9} }- Bui Giao
Duong Anh
Year: 2015
Efficient -Nearest Neighbor Search for Static Queries over High Speed Time-Series Streams
ICTCC
ICST
DOI: 10.1007/978-3-319-15392-6_9
Abstract
In this paper, we propose a solution to the multi-step -nearest neighbor (NN) search. The method is the reduced tolerance-based -NN search for static queries in streaming time-series. A multi-scale filtering technique combined with a multi-resolution index structure is used in the method. We compare the proposed method to the traditional multi-step NN search in terms of the CPU search time and the number of distance function calls in the post-processing step. The results reveal that the reduced tolerance-based -NN search outperforms the traditional -NN search. Besides, applying multi-threading to the proposed method enables the system to have a fast response to high speed time-series streams for the -NN search of static queries.
