Can I read Big Data: Algorithms, Analytics, and Applications (Chapman & Hall/CRC Big Data Series) on EtoBox?

Big Data: Algorithms, Analytics, and Applications (Chapman & Hall/CRC Big Data Series) by Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea, Laurence Tianruo Yang is a nonfiction available to read on EtoBox.

What is Big Data: Algorithms, Analytics, and Applications (Chapman & Hall/CRC Big Data Series) about?

As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields, Big data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. The book is organized into five main sections: Big Data Management?considers the research issues related to the management of Big Data, including indexing and scalability aspects Big Data Processing?addresses the problem of processing Big Data across a wide range of resource-intensive computational settings Big Data Stream Techniques and Algorithms?explo

Who reads Big Data: Algorithms, Analytics, and Applications (Chapman & Hall/CRC Big Data Series)?

Author

Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea, Laurence Tianruo Yang

Publisher

CRC Preess

Published

2015

Language

EN

ISBN

9781482240566

Category

nonfiction

Subjects

Mathematics, Management, Science