Bokus
Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea - Big Data, E-bok

E-bok, Engelska, 2015

Big Data

Algorithms, Analytics, and Applications

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

Del i serien Chapman & Hall/CRC Big Data Series

921 kr

Läs direkt i Bokus Reader – eller ladda ned till din enhet

Fler format och utgåvor

Beskrivning
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.Pre
Produktinformation
Utforska kategorier
Mer om författaren

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

Recensioner i media

The collection presented in the book covers fundamental and realistic issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields. ... This book is required understanding for anyone working in a major field of science, engineering, business, and financing.—Jack Dongarra, University of TennesseeThe editors have assembled an impressive book consisting of 22 chapters written by 57 authors from 12 countries across America, Europe, and Asia. ... This book has great potential to provide fundamental insight and privacy to individuals, long-lasting value to organizations, and security and sustainability to the cyber–physical–social ecosystem ....—D. Frank Hsu, Fordham UniversityThese editors are active researchers and have done a lot of work in the area of Big Data. They assembled a group of outstanding chapter authors. ... Each section contains several case studies to demonstrate how the related issues are addressed. ... I highly recommend this timely and valuable book. I believe that it will benefit many readers and contribute to the further development of Big Data research.—Dr. Yi Pan, Georgia State University

Betyg & recensioner

0 recensioner

Inga recensioner tillgängliga.