📖 Mathematics of Big Data
Sunday, December 23, 2018 by dev
Mathematics of Big Data
By:Jeremy Kepner,Hayden Jananthan
Published on 2018-07-13 by MIT Press
The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless devices, and cybersecurity. Indeed, these data are growing at a rate beyond our capacity to analyze them. The tools—including spreadsheets, databases, matrices, and graphs—developed to address this challenge all reflect the need to store and operate on data as whole sets rather than as individual elements. This book presents the common mathematical foundations of these data sets that apply across many applications and technologies. Associative arrays unify and simplify data, allowing readers to look past the differences among the various tools and leverage their mathematical similarities in order to solve the hardest big data challenges. The book first introduces the concept of the associative array in practical terms, presents the associative array manipulation system D4M (Dynamic Distributed Dimensional Data Model), and describes the application of associative arrays to graph analysis and machine learning. It provides a mathematically rigorous definition of associative arrays and describes the properties of associative arrays that arise from this definition. Finally, the book shows how concepts of linearity can be extended to encompass associative arrays. Mathematics of Big Data can be used as a textbook or reference by engineers, scientists, mathematicians, computer scientists, and software engineers who analyze big data.
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Book ID of Mathematics of Big Data's Books is 4vBoDwAAQBAJ, Book which was written byJeremy Kepner,Hayden Jananthanhave ETAG "2kj770lfl34"
Book which was published by MIT Press since 2018-07-13 have ISBNs, ISBN 13 Code is 9780262347914 and ISBN 10 Code is 0262347911
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