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Titlebook: Computer Information Systems and Industrial Management; 15th IFIP TC8 Intern Khalid Saeed,W?adys?aw Homenda Conference proceedings 2016 IFI

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書(shū)目名稱(chēng)Computer Information Systems and Industrial Management
副標(biāo)題15th IFIP TC8 Intern
編輯Khalid Saeed,W?adys?aw Homenda
視頻videohttp://file.papertrans.cn/234/233579/233579.mp4
概述Includes supplementary material:
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computer Information Systems and Industrial Management; 15th IFIP TC8 Intern Khalid Saeed,W?adys?aw Homenda Conference proceedings 2016 IFI
描述.This book constitutes the proceedings of the 15th IFIP TC8 International Conference on Computer Information Systems and Industrial Management, CISIM 2016, held in Vilnius, Lithuania, in September 2016...The 63 regular papers presented together with 1 inivted paper and 5 keynotes in this volume were carefully reviewed and selected from about 89 submissions. The main topics covered are rough set methods for big data analytics; images, visualization, classification; optimization, tuning; scheduling in manufacturing and other applications; algorithms; decisions; intelligent distributed systems; and biometrics, identification, security...?.
出版日期Conference proceedings 2016
關(guān)鍵詞big data analysis; high performance computing; image processing; optimization; security; artificial neura
版次1
doihttps://doi.org/10.1007/978-3-319-45378-1
isbn_softcover978-3-319-45377-4
isbn_ebook978-3-319-45378-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightIFIP International Federation for Information Processing 2016
The information of publication is updating

書(shū)目名稱(chēng)Computer Information Systems and Industrial Management影響因子(影響力)




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Information Density Based Image Binarization for Text Document Containing Graphicsresult if the input image contains only text. Experimental results indicate that this method is particularly good for degraded text document containing graphic images as well. USC-SIPI database is used for testing phase. It is compared with iterative partitioning, Otsu’s method for seven different metrics.
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0302-9743 n Systems and Industrial Management, CISIM 2016, held in Vilnius, Lithuania, in September 2016...The 63 regular papers presented together with 1 inivted paper and 5 keynotes in this volume were carefully reviewed and selected from about 89 submissions. The main topics covered are rough set methods f
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Attribute Reduction Based on MapReduce Model and Discernibility Measureunting tables are used. The discussed problems are of high computational complexity. Hence the authors propose to use the relevant heuristics, MRCR (.ap.educe .ore and .educt Generation) implemented using the MapReduce model.
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