Realtime Data Mining

Language: English

Published by Birkhäuser, Springer Dez 2013, 2013

3319013203 / 9783319013206

Series: Book 48 of 88 - Applied and Numerical Harmonic Analysis

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This item is printed on demand - Print on Demand Titel. Neuware -¿¿¿¿Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Enginesfeatures a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods. Furthermore, it presents promising results of numerous experiments on real-world data.¿The area of realtime data mining is currently developing at an exceptionally dynamic pace, and realtime data mining systems are the counterpart of today's ¿classic¿ data mining systems. Whereas the latter learn from historical data and then use it to deduce necessary actions, realtime analytics systems learn and act continuously and autonomously. In the vanguard of these new analytics systems are recommendation engines. They are principally found on the Internet, where all information is available in realtime and an immediate feedback is guaranteed.Thismonograph appeals to computer scientists and specialists in machine learning, especially from the area of recommender systems, because it conveys a new way of realtime thinkingby considering recommendation tasks as control-theoretic problems. Realtime Data Mining: Self-Learning Techniques for Recommendation Engines will also interest application-oriented mathematicians because it consistently combines some of the most promising mathematical areas, namely control theory, multilevel approximation, and tensor factorization.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 340 pp. Englisch.…

Seller Inventory # 9783319013206

Title
Realtime Data Mining
Author
Alexander Paprotny
Publisher
Birkhäuser, Springer Dez 2013
Publication year
2013
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319013203
ISBN 13
9783319013206
Item weight
676 grams
Dimensions
241x160x24 mm
Series
Book 48 of 88: Applied and Numerical Harmonic Analysis

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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