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.
| 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
, Shelving location: Main Collection Close shelf browser
|
|
|
|
|
|
|
||
| 005.58 OL MI Microsoft PowerPoint 2013 : | 005.58 WO TE Teach yourself visually PowerPoint 2013 | 005.6424 MC MC MCSD test success : | 005.7 AP AP Applications of big data analytics : | 005.7 BI GD Big data over networks / | 005.7 BI GD Big data and computational intelligence in networking | 005.7 BI GD Big data, Cloud computing, data science & engineering. |
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.