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Big-Data Analytics and Cloud Computing Theory Algorithms and Applications by Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu , Springer

Books from same Author: Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu

Books from same Publisher: Springer

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  • General Information  
    Author(s)Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu
    PublisherSpringer
    ISBN9783319253114
    Pages169
    BindingHardback
    LanguageEnglish
    Publish YearJanuary 2016

    Description

    Springer Big-Data Analytics and Cloud Computing Theory Algorithms and Applications by Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu

    This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets._x000D_ Table of contents :- _x000D_ Part I: Theory_x000D_ _x000D_ Data Quality Monitoring of Cloud Databases Based on Data Quality SLAs_x000D_ Dimas C. Nascimento, Carlos Eduardo Pires and Demetrio Mestre_x000D_ _x000D_ _x000D_ _x000D_ Role and Importance of Semantic Search in Big Data Governance_x000D_ Kurt Englmeier_x000D_ _x000D_ _x000D_ _x000D_ Multimedia Big Data: Content Analysis and Retrieval_x000D_ Jer Hayes_x000D_ _x000D_ _x000D_ _x000D_ An Overview of Some Theoretical Topological Aspects of Big Data_x000D_ Marcello Trovati_x000D_ _x000D_ _x000D_ _x000D_ Part II: Applications_x000D_ _x000D_ Integrating Twitter Traffic Information with Kalman Filter Models for Public Transportation Vehicle Arrival Time Prediction_x000D_ Ahmad Faisal Abidin, Mario Kolberg and Amir Hussain_x000D_ _x000D_ _x000D_ _x000D_ Data Science and Big Data Analytics at CareerBuilder_x000D_ Faizan Javed and Ferosh Jacob_x000D_ _x000D_ _x000D_ _x000D_ Extraction of Bayesian Networks from Large Unstructured Datasets_x000D_ Marcello Trovati_x000D_ _x000D_ Two Case Studies Based on Large Unstructured Sets_x000D_ Aaron Johnson, Paul Holmes, Lewis Craske, Marcello Trovati, Nik Bessis and Peter Larcombe_x000D_ _x000D_ Information Extraction from Unstructured Datasets: An Application to Cardiac Arrhythmia Detection_x000D_ Omar Behadada_x000D_ _x000D_ A Platform for Analytics on Social Networks Derived from Organizational Calendar Data_x000D_ Dominic Davies-Tagg, Ashiq Anjum and Richard Hill_x000D_



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