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  • 1
    ISBN: 9780128029145 , 0128029145
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Data mining ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud. Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis. Introduces data analysis techniques and cloud computing concepts Describes cloud-based models and systems for Big Data analytics Provides examples of the state-of-the-art in cloud data analysis Explains how to develop large-scale data mining applications on clouds Outlines the main research trends in the area of scalable Big Data analysis
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed October 19, 2015)
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  • 2
    Online Resource
    Online Resource
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    ISBN: 9783036580005 , 9783036580012
    Language: Undetermined
    Pages: 1 Online-Ressource (224 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. This Special Issue includes high-quality research papers in the fields of big data, cloud-based data analysis, and machine learning systems. In particular, wide-ranging surveys and advanced research papers are included, focusing both on aspects relating to big data (e.g., frameworks for big data analysis or systems for big data management) and on the use of big data in application areas (e.g., big data from social media or big data from streams)
    Note: English
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