Actionable Knowledge As A Service (AKAAS): Leveraging big data analytics in cloud computing environments-Reference-Cited by-同舟云学术

Actionable Knowledge As A Service (AKAAS): Leveraging big data analytics in cloud computing environments

Published:2015-07-16 Issue:1 Volume:2 Page:
ISSN:2196-1115
Container-title:Journal of Big Data
language:en
Short-container-title:Journal of Big Data

Author:

Depeige Audrey,Doyencourt Dimitri

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems

Link

http://link.springer.com/content/pdf/10.1186/s40537-015-0023-2.pdf

Reference22 articles.

1. Advances in Intelligent systems and Computing;Y Rao,2014

2. Rechberg I, Syed J (2014) Appropriation or participation of the individual in knowledge management. Manag Decis 52(3):426–445

3. Delic KA, Riley JA (2009) Enterprise Knowledge Clouds: Next Generation KM Systems? In: eKNOW., pp 49–53

4. Khoshnevis S, Rabeifar F (2012) Toward knowledge management as a service in cloud-based environments. Int J Mechatron Elec Computer Tech 2(4):88–110

5. Sultan N (2013) Knowledge management in the age of cloud computing and Web 2.0: Experiencing the power of disruptive innovations. Int J Inf Manag 33(1):160–165

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