求助查询EI pendex accession number检索号各位,帮我查询下文章：MR-Apriori: Association Rules algorithm based on MapReduce是否被ei检索了,检索号是什么?已知INSPEC Accession Number:14698890多谢! 英语
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【答案】 Accession number:
201446195465
Title:
MR-Apriori: Association Rules algorithm based on MapReduce
Authors:
Lin, Xueyan1
Author affiliation: 1 Information School, Ningbo City College of Vocational Technology, Zhejiang Province, China
Corresponding author:
Lin, Xueyan
Source title:
Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
Abbreviated source title:
Proc.IEEE Int. Conf. Software Eng. Serv. Sci., ICSESS
Issue date:
October 21, 2014
Publication year:
2014
Pages:
141-144
Article number:
6933531
Language:
English
ISSN:
23270586
E-ISSN:
23270594
ISBN-13:
9781479932788
Document type:
Conference article (CA)
Conference name:
2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014
Conference date:
June 27, 2014 - June 29, 2014
Conference location:
Beijing, China
Conference code:
108800
Publisher:
IEEE Computer Society
Abstract:
Traditional Association Rules algorithm has puting power shortage in dealing with massive datasets. In order to overe these problems, a distributed association rulesalgorithm based on MapReduce programming model named MR-Apriori is proposed. In this paper, we introduce the MapReduce programming model of Hadoop platform and Apriori algorithm of data mining, propose the detailed procedure of MR-Apriori algorithm. Theoretical and experimental results show MR-Apriori algorithm make a sharp increase in efficiency.
Number of references:
5
Main heading:
Association rules
Controlled terms:
Data mining
Uncontrolled terms:
Apriori - Apriori algorithms - Hadoop - Map-reduce
Classification code:
723.3 Database Systems - 903.1 Information Sources and Analysis
DOI: 10.1109/ICSESS.2014.6933531
Database:
Compendex
Compilation and indexing terms, © 2014 Elsevier Inc.