Knowledge discovery in data streams with regression tree methods-Reference-Cited by-同舟云学术

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Knowledge discovery in data streams with regression tree methods

Published:2011-10-31 Issue:1 Volume:2 Page:69-78
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Alberg Dima¹,Last Mark²,Kandel Abraham³

Affiliation:

1. Department of Industrial Engineering and Management, Shamoon College of Engineering, Beer‐Sheva, Israel

2. Department of Information Systems Engineering, Ben‐Gurion University of the Negev, Beer‐Sheva, Israel

3. Department of Computer Science and Engineering, University of South Florida, Tampa, USA

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.51

Reference66 articles.

1. Incremental Learning of Linear Model Trees

2. BifetA HolmesG PfahringerB KirkbyR GavaldàR. New Ensemble Methods for Evolving Data Streams. In:Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09). Paris;2009 139–148.

3. Learning model trees from evolving data streams;Ikonomovska E;Data Min Knowl Discov,2010

4. AlbergD LastM NeumanR SharonA. Induction of mean output prediction trees from continuous temporal meteorological data. In:2009 IEEE International Conference on Data Mining Workshops.Miami FL:IEEE Computer Society;2009 208–213.

5. GamaJ SebastiaoR RodriguesP. Issues in evaluation of stream learnings algorithms. In:Proceedings of KDD2009; Paris2009 329–338.

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