Normal view MARC view ISBD view

Applications of big data analytics : trends, issues, and challenges

Title By: Alani, Mohammed M [Edited by] | Tawfik, Hissam [Edited by] | Saeed, Mohammed [Edited by] | Anya, Obinna [Edited by]
Material type: BookPublisher: New York, NY : Springer, c2018.Description: xii, 214 p. : ill. ; 25 cm.ISBN: 9783319764719Subject(s): Data analytics | Big dataDDC classification: 005.7 AP AP Online resources: Location Map
Summary:
This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery.
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Home library Call number Status Notes Date due Barcode Item holds
REGULAR University of Wollongong in Dubai
Main Collection
005.7 AP AP (Browse shelf) Available Jan2019 T0061181
Total holds: 0

This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery.

Powered by Koha