NDLI: A fast approach for spatial CO-location pattern mining

Content Provider	IEEE Xplore Digital Library
Author	Fei He Xuemin Deng Jinyun Fang
Copyright Year	2013
Description	Author affiliation: CNPC Bohai Drilling Eng. Co., Ltd., China (Xuemin Deng) \|\| Inst. of Comput. Technol., Beijing, China (Fei He; Jinyun Fang)
Abstract	Spatial co-location pattern mining means to find subsets of events whose instances are frequently located together in geographic space. Due to the complexity of spatial data types and spatial relationships, co-location mining is much more difficult than traditional transactions mining [1]. With the increasing of the amount of spatial data, computing time it costs grows sharply. In this paper, we present a spatial co-location pattern mining approach called Grid-based method. Then we make use of parallel programming to improve our method. Our Grid-based method would divide a continuous spatial area into many small cells, and each process of our cluster undertakes several cells. Experiment results show that if we just use one process, our method could get the same result as traditional Join-based method [2] while having a faster speed. With the increasing of the number of processes, our algorithm could get a high speed up ratio.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	3654
Ending Page	3657
File Size	352236
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723622
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spatial databases Data mining Parallel programming Algorithm design and analysis Libraries Computers cluster spatial co-location pattern data partition parallel programming spatial data
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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