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[其他] 谁能帮忙查查这篇文章是否被EI检索? [推广有奖]

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楼主
jingchongyi 发表于 2015-3-1 19:18:01 |AI写论文
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有EI数据库的童鞋,谁麻烦帮忙查查这篇文章是否被EI检索,如果是,检索号是多少?谢谢
A Clustering Algorithm Applying to Transportation Market Segment

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wobushita 查看完整内容

帮楼主查了,结果如下: Accession number: 20140817358489 Title: A clustering algorithm applying to transportation market segment Authors: Jing, Chong Yi1 Email author ; Sun, Hong1 Email author ; Zhang, Pei Wen1 Email author Author affiliation: 1 Air Transportation Management School, Civil Aviation Flight University of China, Guanghan, Sichuan, 618307, China Source title: Applied Mech ...
关键词:EI检索 Transportat Clustering Algorithm Transport 文章
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wobushita 发表于 2015-3-1 19:18:02
帮楼主查了,结果如下:
Accession number:        20140817358489
        Title:        A clustering algorithm applying to transportation market segment
        Authors:         Jing, Chong Yi1 Email author jingchongyi@163.com; Sun, Hong1 Email author sunhong@263.com; Zhang, Pei Wen1 Email author penwenzhang@163.com
        Author affiliation:        1 Air Transportation Management School, Civil Aviation Flight University of China, Guanghan, Sichuan, 618307, China
        Source title:        Applied Mechanics and Materials
        Abbreviated source title:        Appl. Mech. Mater.
        Volume:        505-506
        Monograph title:        Advances in Transportation
        Issue date:        2014
        Publication year:        2014
        Pages:        735-739
        Language:        English
        ISSN:         16609336
        E-ISSN:         16627482
        ISBN-13:         9783038350064
        Document type:        Conference article (CA)
        Conference name:        3rd International Conference on Civil Engineering and Transportation, ICCET 2013
        Conference date:        December 14, 2013 - December 15, 2013
        Conference location:        Kunming, China
        Conference code:         102766
        Publisher:        Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland
        Abstract:        An integration algorithm for clustering is presented, in which a maximization & minimum algorithm to determine the initial centers and BWP (Between-Within Proportion) index for input of optimal k. In theory, the bigger the BWP index, the better the clustering effectiveness. Then a numerical example of air transport market segment is presented to show the effectiveness and efficiency of the method presented in the document. © (2014) Trans Tech Publications, Switzerland.
        Number of references:        4
        Main heading:         Clustering algorithms
        Controlled terms:         Civil engineering  -  Commerce
        Uncontrolled terms:         Air transport  -  Between-within proportion  -  Effectiveness and efficiencies  -  Integration algorithm  -  k-Means algorithm  -  Transportation markets
        Classification code:         409 Civil Engineering, General -  721 Computer Circuits and Logic Elements -  911.2 Industrial Economics
        DOI:        10.4028/www.scientific.net/AMM.505-506.735
        Database:        Compendex
                Compilation and indexing terms, © 2015 Elsevier Inc.

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