Find out how to access preview-only content
Date: 23 Apr 2013
BISE – Call for Papers Issue 5/2014
Rent the article at a discountRent now
* Final gross prices may vary according to local VAT.Get Access
Since Jim Gray started his huge astronomy project at Microsoft to proclaim the age of “data science” in the late 1990s, this approach has proliferated to many other areas beyond the natural sciences. In Business and Information Systems Engineering (BISE), the 1990s saw the analysis of historical data collected in data warehouses. Soon after, the quasi real-time analysis of high-frequency trading in finance added the data stream aspect to data mining. Search engines, web commerce, and social media have added text mining, social network analysis, and heterogeneous data analysis to the spectrum.
The buzzword “Big Data” nowadays characterizes analytical systems with extreme data volume, high data variety, and rapid data generation velocity. Even though this buzzword is surely approaching its peak in the Gartner lifecycle, there are many arguments why this trend will continue and even accelerate in the coming years. The Internet of Things accelerates data generation by integrati...
This article is also available in German in print and via http://www.wirtschaftsinformatik.de: Dhar V, Jarke M, Laartz J (2013) WI – Call for Papers Heft 5/2014. Big Data. WIRTSCHAFTSINFORMATIK. doi: 10.1007/s11576-013-0365-3.
- BISE – Call for Papers Issue 5/2014
Business & Information Systems Engineering
Volume 5, Issue 3 , pp 203-204
- Cover Date
- Online ISSN
- SP Gabler Verlag
- Additional Links
- Industry Sectors