Springer Gabler Mathematical Foundations of Big Data Analytics (English, Special Edition, Vladimir Shikhman)

About the Book

From the Back Cover In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematic tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality control, product clustering, asset pricing etc. - mainly in an economic context. In addition, we discuss i…

Why You Should Read This Book

• Written by acclaimed author Vladimir Shikhman
• Published by Springer Gabler, a respected name in academic and professional publishing
• Covers the domain of Database Administration & Management with depth and clarity
• Available in English — ideal for students, researchers, and professionals alike
• A trusted reference work that belongs on every serious reader's shelf

Product Details

This Special Edition of Mathematical Foundations of Big Data Analytics is published by Springer Gabler and carries ISBN-13 9783662625200. Packaged securely for delivery across India, this edition is ideal for personal libraries, classroom use, and professional reference.

Who Is This Book For?

Whether you are a student preparing for advanced coursework, a researcher deepening your expertise, or a professional staying current with the field, Mathematical Foundations of Big Data Analytics by Vladimir Shikhman is an excellent choice. Order your copy today from BookBajar and enjoy free shipping with Cash on Delivery available across India.