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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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Conference proceedings 2016the 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..
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Block Ciphers and Modes of Operation, the visual analysis and uncertainty measure theory combined with parallel coordinates, radar chart, histogram, pixel chart and good interaction. At the same time, the data source expression clearly shows the uncertainty and hidden information as an information base for passengers’ service recommendations.
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Undergraduate Texts in Mathematicse master node is reduced. Also file block update strategy and fault recovery mechanism are provided to solve the management bottleneck problem of traditional storage system on the data update and fault recovery and offer feasible technical solutions to storage management for big data.
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Incident Handling and System Availability,diate results of query cached in memory as resilient distributed dataset to reduce disk and network I/O. The results of experiments conducted on large-scale RDF datasets show that RQCCP has high query performance.
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-adic ,-functions and Bernoulli Numbers,d based on Spark framework, which improves the processing performance on the premise of the accuracy of clustering results. The experimental results show that the SparkSCAN have a good performance, and can effectively deal with the problem of clustering algorithm for large-scale directed graph.
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Big Data Storage Architecture Design in Cloud Computing,e master node is reduced. Also file block update strategy and fault recovery mechanism are provided to solve the management bottleneck problem of traditional storage system on the data update and fault recovery and offer feasible technical solutions to storage management for big data.
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