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Titlebook: Distributed Computing and Internet Technology; 9th International Co Chittaranjan Hota,Pradip K. Srimani Conference proceedings 2013 Springe

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書目名稱Distributed Computing and Internet Technology
副標(biāo)題9th International Co
編輯Chittaranjan Hota,Pradip K. Srimani
視頻videohttp://file.papertrans.cn/282/281836/281836.mp4
概述Fast track conference proceedings.Unique visibility.State of the art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Distributed Computing and Internet Technology; 9th International Co Chittaranjan Hota,Pradip K. Srimani Conference proceedings 2013 Springe
描述This book constitutes the refereed proceedings of the 9th International Conference on Distributed Computing and Internet Technology, ICDCIT 2013, held in Bhubaneswar, India, in February 2013. .The 40 full papers presented together with 5 invited talks in this volume were carefully reviewed and selected from 164 submissions. The papers cover various research aspects in distributed computing, internet technology, computer networks, and machine learning.
出版日期Conference proceedings 2013
關(guān)鍵詞crowdsourcing; mobile devices; peer-to-peer networks; social Web; wireless sensor networks; algorithm ana
版次1
doihttps://doi.org/10.1007/978-3-642-36071-8
isbn_softcover978-3-642-36070-1
isbn_ebook978-3-642-36071-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

書目名稱Distributed Computing and Internet Technology影響因子(影響力)




書目名稱Distributed Computing and Internet Technology影響因子(影響力)學(xué)科排名




書目名稱Distributed Computing and Internet Technology網(wǎng)絡(luò)公開度




書目名稱Distributed Computing and Internet Technology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Distributed Computing and Internet Technology被引頻次




書目名稱Distributed Computing and Internet Technology被引頻次學(xué)科排名




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Martin Goldstein,Inge Goldsteinfactor approximation algorithm [3]. We also propose two heuristics for minimizing total interference in the case of strongly connected predicate and compare our results with the best result available in the literature. Experimental results demonstrate that our heuristic outperforms existing results.
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Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces,tions have emerged in recent years. For example, GPS traces uploaded by drivers and passengers can be used to generate realtime traffic statistics. Similarly, street-level audio samples collected by pedestrians can be aggregated to create a citywide noise map. In this talk, we will provide a compreh
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