Challenges and opportunity with big ...
Monterey Workshop (2016 :)

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  • Challenges and opportunity with big data = 19th Monterey Workshop 2016, Beijing, China, October 8 - 11, 2016 : revised selected papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Challenges and opportunity with big data/ edited by Lin Zhang, Lei Ren, Fabrice Kordon.
    其他題名: 19th Monterey Workshop 2016, Beijing, China, October 8 - 11, 2016 : revised selected papers /
    其他題名: Monterey Workshop 2016
    其他作者: Zhang, Lin.
    團體作者: Monterey Workshop
    出版者: Cham :Springer International Publishing : : 2017.,
    面頁冊數: viii, 209 p. :ill., digital ;24 cm.
    內容註: A Hybrid M&S Methodology for Knowledge Discovery -- A Model-driven Visualization System Based on DVDL -- A Practical Energy Modeling Method for Industrial -- An Optimization Method for User Interface Components Based on Big Data -- Clustering-based Data Aggregation and Routing for Real-time Wireless HART Communication -- Constrained Semantic Grammar Enabled Question Answering System0.3 -- Information Composition Analysis and Adaptation Access of CNC Lathes in Cloud Manufacturing -- Interactive Animation Editing Based on Sketch Interaction -- Manufacturing Service Reconfiguration Optimization using Hybrid Bees Algorithm in Cloud Manufacturing -- Mobile Phone-based tourist Spatial-Temporal Behavior Record and Analysis System -- Multi-Source Information Intelligent Collection and Monitoring of CNC Machine Tools Based on Multi-Agent Ontology Management and Ontology Reuse in Web Environment -- Research on the shortest path of two places in urban based on improved ant colony algorithm -- RUL Prediction of Bearings based on Mixture of Gaussians Bayesian Belief Network and Support Vector Data Description -- Social Recommendation Terms:Probabilistic Explanation and Optimization -- Towards a Holistic Method for Business Process - Traffic Flow Prediction with improved SOPIO-SVR algorithm -- Workshop Multi-source Information IntelliSense Method based on IPv6 Intelligent Terminal.
    Contained By: Springer eBooks
    標題: Big data - Congresses. -
    電子資源: http://dx.doi.org/10.1007/978-3-319-61994-1
    ISBN: 9783319619941
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