Abstract
The chapter offers a general introduction to methods of realtime analytics and sets out their advantages and disadvantages as compared with conventional analytics methods, which learn only from historical data. In particular, we stress the difficulties in the development of theoretically sound realtime analytics methods. We emphasize that such online learning does not conflict with conventional offline learning but, on the opposite, both complement each other. Finally, we give some methodical remarks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Beer, S.: Cybernetics and Management. English Universities Press, London (1959)
Glushkov, V.M., Vallakh, V.I.: What is OGAS? (in Russian). Kvant, Nauka (1981)
Pekelis V.: Kleine Enzyklopädie von der großen Kybernetik (in German). Kinderbuchverlag, Berlin (Ost) (1977)
Pias C.: Zeit der Kybernetik – Eine Einstimmung (in German). In: Cyberntics | Kybernetik. The Macy-Conferences 1946–1953. Band 2. diaphanes, Zürich/Berlin (2004)
Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice Hall, Englewood Cliffs (2002)
Wiener, N.: Cybernetics or Control and Communication in the Animal and the Machine. Hermann & Cie Editeurs/The Technology Press/Wiley, Paris/Cambridge, MA/New York (1948)
Wiener, N.: God & Golem, Inc. MIT Press, Cambridge (1964)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Paprotny, A., Thess, M. (2013). Brave New Realtime World: Introduction. In: Realtime Data Mining. Applied and Numerical Harmonic Analysis. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-01321-3_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-01321-3_1
Published:
Publisher Name: Birkhäuser, Cham
Print ISBN: 978-3-319-01320-6
Online ISBN: 978-3-319-01321-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)