Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition-Reference-Cited by-同舟云学术

Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition

Published:2019 Issue: Volume: Page:327-343
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases
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Author:

Pasricha Ravdeep,Gujral Ekta,Papalexakis Evangelos E.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-10928-8_20

Reference16 articles.

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2. Bader, B.W., Kolda, T.G., et al.: MATLAB Tensor Toolbox Version 2.6, February 2015. http://www.sandia.gov/~tgkolda/TensorToolbox/

3. Bifet, A., Gama, J., Pechenizkiy, M., Zliobaite, I.: Handling concept drift: importance, challenges and solutions. PAKDD-2011 Tutorial, Shenzhen, China (2011)

4. Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp. 2008(10), P10008 (2008)

5. Lecture Notes in Computer Science;EE Papalexakis,2012

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