Titlebook: Big Data Concepts, Theories, and Applications; Shui Yu,Song Guo Book 2016 Springer International Publishing Switzerland 2016 Big data.Big

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Bayesian Single Target Tracking,and government organizations show that the number of data-leak instances has grown rapidly in the last years. Deliberately planned attacks, inadvertent leaks, and human mistakes constitute the majority of the incidents. In this chapter, we first introduce the threat of data leak and overview traditi

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Pathology of Affect: Nuerobiological Aspectsritical challenge to the data storage systems. Firstly, since 60?. of the stored data is claimed to be redundant, data deduplication technology becomes an attractive solution to save storage space and traffic in a big data environment. Secondly, the security issues, such as confidentiality, integrit

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Pathology of Affect: Nuerobiological Aspectsmajor trend, in this chapter we provide an overview of state-of-the-art research issues and achievements in the field of security and privacy of big data, by highlighting recent advances in data encryption, privacy preservation and trust management. In section of data encryption, searchable encrypti

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https://doi.org/10.1007/978-1-4612-5452-2tural exemplar of big data applications. For example, data from weather stations, high resolution images from CT scans, or data captured by astronomical instruments all easily showcase one or more big data characteristics, i.e., volume, velocity, variety and veracity. These big data characteristics

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Pathology of Affect: Nuerobiological Aspectschallenges and opportunities as far as their access, archiving, processing and analytics are concerned. Currently, huge imaging streams are reaching several petabytes in many satellite archives worldwide. In this chapter, we review the current state-of-the-art in big data frameworks able to access,

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Toshihiro Muraji,Toshio Harumatsuadvanced Big Data technologies towards gaining actionable insights from massive market data, standardizing financial data from a variety of sources, reducing the response time to real-time data streams, improving the scalability of algorithms and software stacks on novel architectures. Today, these

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Diagnostic Modalities for Biliary Atresia,uthern Airlines, this chapter illustrates how big data analytics can help airline companies to develop a comprehensive 360-degree view of the passengers. This chapter introduces a number of data mining techniques, including Weibo customer value modeling, social network analysis, website click-stream

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Introduction to Bayesian Statisticss production cope mainly with two of the characteristics given to Big Data by the 5V’s model: volume & velocity. Techniques such as complex pattern detection, event correlation, event aggregation, event mining and stream processing, have been used for composing events. Nevertheless, to the best of o

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Introduction to Bayesian Statisticsdetail. Then we also cover the applicability of the various categories of Big Data Tools and Platforms to various enterprise level Big Data use cases. Finally, we discuss the future works happening in this space to cover the newer patterns, tools and platforms to be watched for implementation of Big