NDLI: PartSpan: Parallel Sequence Mining of Trajectory Patterns

Content Provider	IEEE Xplore Digital Library
Author	Shaojie Qiao Changjie Tang Shucheng Dai Mingfang Zhu Jing Peng Hongjun Li Yungchang Ku
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci., Sichuan Univ., Chengdu (Shaojie Qiao; Changjie Tang; Shucheng Dai; Mingfang Zhu; Jing Peng; Hongjun Li)
Abstract	The trajectory pattern mining problem has recently attracted increasing attention. This paper precisely addresses the parallel mining problem of trajectory patterns as well as the newly proposed concepts with regard to trajectory pattern mining. An efficient parallel trajectory sequential pattern mining (PartSpan) is proposed by incorporating three key techniques: prefix-projection, parallel formulation, and candidate pruning. The prefix-projection technique is used to decompose the search space as well as greatly reducing candidate trajectory sequences. The parallel formulation integrates the data parallel formulation and the task parallel formulation to partition the computations and to assign them to multiple processors in an efficient and effective manner that helps reduce the communication cost across processors. Representative experiments are used to evaluate the performance of PartSpan. The results show that PartSpan outperforms GSP-based and SPADE-based parallel algorithms in mining very large trajectory databases.
Starting Page	363
Ending Page	367
File Size	233968
Page Count	5
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.33
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Tracking parallel formulation Information management Parallel algorithms Concurrent computing Computer science Databases trajectory sequential patterns Parallel processing Computational efficiency parallel computing prefix projection Fuzzy systems
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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