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Titlebook: Big Data Technology and Applications; First National Confe Wenguang Chen,Guisheng Yin,Zeguang Lu Conference proceedings 2016 Springer Scien

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发表于 2025-3-21 17:22:01 | 显示全部楼层 |阅读模式
期刊全称Big Data Technology and Applications
期刊简称First National Confe
影响因子2023Wenguang Chen,Guisheng Yin,Zeguang Lu
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发行地址Includes supplementary material:
学科分类Communications in Computer and Information Science
图书封面Titlebook: Big Data Technology and Applications; First National Confe Wenguang Chen,Guisheng Yin,Zeguang Lu Conference proceedings 2016 Springer Scien
影响因子.This bookconstitutes the refereed proceedings of the First National Conference on BigData Technology and Applications, BDTA 2015, held in Harbin, China, in December2015...The 26revised papers presented were carefully reviewed and selected from numeroussubmissions. The papers address issues such as the storage technology of Big Data;analysis of Big Data and data mining; visualization of Big Data; the parallelcomputing framework under Big Data; the architecture and basic theory of BigData; collection and preprocessing of Big Data; innovative applications in someareas, such as internet of things and cloud computing..
Pindex Conference proceedings 2016
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Design and Implementation of a Project Management System Based on Product Data Management on the Bap of the Baidu cloud computing platform. It can provide a reference for small- and medium-sized enterprises seeking to implement information systems with high efficiency and at low cost in the age of big data.
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Using Class Based Document Frequency to Select Features in Text Classification,ion metric, we, therefore, propose a class based document frequency strategy to further refine the original DF to some extent. Extensive experiments on three text classification datasets demonstrate the effectiveness of the proposed measures.
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https://doi.org/10.1007/978-3-319-64403-5ccessing operation under any different storage strategies and parameters. Simulation experiments shows that strategies proposed in this paper saves 20 %–35 % energy than traditional HDFS and 99.9 % responding time of reading files will not be affected, with an average of 0.008 %–0.036 % time delay.
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Cybersemiotics in the Information Age,oothing (SES), Double exponential smoothing (DES), Triple exponential smoothing (TES) and Autoregressive integrated moving average (ARIMA) are used in our experiments. Our experimental results suggest that we can achieve good forecast result for 135 min in future.
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Cyclotomic Fields of Class Number One,p of the Baidu cloud computing platform. It can provide a reference for small- and medium-sized enterprises seeking to implement information systems with high efficiency and at low cost in the age of big data.
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The CCR Model and Production Correspondence,ion metric, we, therefore, propose a class based document frequency strategy to further refine the original DF to some extent. Extensive experiments on three text classification datasets demonstrate the effectiveness of the proposed measures.
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