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      • [PDF] Frontiers in Massive Data Analysis Free Download by Board on Mathematical Sciences and Their Applications , Committee on Applied and Theoretical Statistics , Committee on the Analysis of Massive Data , Division on Engineering and Physical Sciences , National Research Council | Publisher : National Academies Press | Category : Computers & Internet | Tags : Database, Physics, Business, Analytics, Machine Learning, Models | ISBN-10 : 0309287782 | ISBN-13 : 9780309287784
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      • Frontiers in Massive Data Analysis by Board on Mathematical Sciences and Their Applications , Committee on Applied and Theoretical Statistics , Committee on the Analysis of Massive Data , Division on Engineering and Physical Sciences , National Research Council, Publisher : National Academies Press
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      • Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data.

        Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale–terabytes and petabytes–is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, businessanalytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge–from computer science, statistics, machine learning, and application disciplines–that must be brought to bear to make useful inferences from massive data.

        Table of Contents

        Chapter 1 Introduction
        Chapter 2 Massive Data in Science, Technology, Commerce, National Defense, Telecommunications, and Other Endeavors
        Chapter 3 Scaling the Infrastructure for Data Management
        Chapter 4 Temporal Data and Real-Time Algorithms
        Chapter 5 Large-Scale Data Representations
        Chapter 6 Resources, Trade-offs, and Limitations
        Chapter 7 Building Models from Massive Data
        Chapter 8 Sampling and Massive Data
        Chapter 9 Human Interaction with Data
        Chapter 10 The Seven Computational Giants of Massive Data Analysis
        Chapter 11 Conclusions

        Appendix A: Acronyms
        Appendix B: Biographical Sketches of Committee Members

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    • Book Details
      • Book Name : Frontiers in Massive Data Analysis

        Edition : 1

        Author : Board on Mathematical Sciences and Their Applications , Committee on Applied and Theoretical Statistics , Committee on the Analysis of Massive Data , Division on Engineering and Physical Sciences , National Research Council

        Publisher : National Academies Press

        Category : Computers & Internet

        ISBN-10 : 0309287782

        ISBN-13 : 9780309287784

        ASIN : 0309287782

        Pages : 190

        Language : English

        Publish Date : September 17, 2013
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