NDLI: Distributed PrefixSpan algorithm based on MapReduce

Content Provider	IEEE Xplore Digital Library
Author	Yong-qing Wei Dong Liu Lin-shan Duan
Copyright Year	2012
Description	Author affiliation: Shandong Normal University, Jinan China (Lin-shan Duan) \|\| Basic Education Department, Shandong Police College, Jinan, China (Yong-qing Wei) \|\| Shandong Provincial Key, Laboratory for Distributed, Computer Software Novel Technology, Shandong Normal University, Jinan China (Dong Liu)
Abstract	For mining sequential patterns on massive data set, the distributed sequential pattern mining algorithm based on MapReduce programming model and PrefixSpan is proposed. Mining tasks are decomposed to many small tasks, the Map function is used to mine each Prefix-Projected sequential pattern, and the projected databases were constructed parallelly. It simplifies the search space and acquires a higher mining efficiency. Then the intermediate values are passed to a Reduce function which merges together all these values to produce a possibly smaller set of values. Both theoretical analyses and experimental results show MR-PrefixSpan reduces the time of scanning database. It solves the problem of mining massive data effectively, has considerable speedup and scaleup performances with an increasing number of processors on the Hadoop platform.
Starting Page	901
Ending Page	904
File Size	513159
Page Count	4
File Format	PDF
ISBN	9781467321099
e-ISBN	9781467321082
DOI	10.1109/ITiME.2012.6291449
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	PrefixSpan algorithm Hadoop platform MapReduce model parallel dispose cloud computing sequential pattern Indium phosphide
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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