Mathematics of Big Data – Spreadsheets, Databases, Matrices, and Graphs (MIT Lincoln Laboratory Series) Book + PRICE WATCH * Amazon pricing is not included in price watch

Mathematics of Big Data – Spreadsheets, Databases, Matrices, and Graphs (MIT Lincoln Laboratory Series) Book

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.Read More

from£23.08 | RRP: £
* Excludes Voucher Code Discount Also available Used from £20.05
  • 0262038390
  • 9780262038393
  • , Ward, James
  • 24 July 2018
  • MIT Press
  • Hardcover (Book)
  • 448
  • Book
As an Amazon Associate we earn from qualifying purchases. If you click through any of the links below and make a purchase we may earn a small commission (at no extra cost to you). Click here to learn more.

Would you like your name to appear with the review?

We will post your book review within a day or so as long as it meets our guidelines and terms and conditions. All reviews submitted become the licensed property of www.find-book.co.uk as written in our terms and conditions. None of your personal details will be passed on to any other third party.

All form fields are required.