Learning very fast decision tree from uncertain data streams with positive and unlabeled samples-Reference-Cited by-同舟云学术

Learning very fast decision tree from uncertain data streams with positive and unlabeled samples

Published:2012-12 Issue: Volume:213 Page:50-67
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Liang Chunquan,Zhang Yang,Shi Peng,Hu Zhengguo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference37 articles.

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2. J. Bi, T. Zhang, Support vector classification with input data uncertainty, in: Advances in Neural Information Processing Systems (SIAM’10), 2010, pp. 161–168.

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4. Semi-Supervised Learning,2006

5. A survey of uncertain data algorithms and applications;Charu;IEEE Transactions on Knowledge and Data Engineering,2009

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