Machine learning techniques for XML (co-)clustering by structure-constrained phrases-Reference-Cited by-同舟云学术

Machine learning techniques for XML (co-)clustering by structure-constrained phrases

Published:2017-08-04 Issue:1 Volume:21 Page:24-55
ISSN:1386-4564
Container-title:Information Retrieval Journal
language:en
Short-container-title:Inf Retrieval J

Author:

Costa Gianni,Ortale Riccardo

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Information Systems

Link

http://link.springer.com/article/10.1007/s10791-017-9314-x/fulltext.html

Reference62 articles.

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3. Aggarwal, C. C., Ta, N., Wang, J., Feng, J., & Zaki, M. (2007). Xproj: A framework for projected structural clustering of xml documents. In Proceedings of the international conference on knowledge discovery and data mining (pp. 46–55).

4. Albright, R., Cox, J., Duling amd, D., Langville, A. N., & Meyer, C. D. (2006). Algorithms, initializations, and convergence for the nonnegative matrix factorization. Technical Report Math 81706, North Carolina State University.

5. Algergawy, A., Mesiti, M., Nayak, R., & Saake, G. (2011). Xml data clustering: An overview. ACM Computing Surveys, 43(4), 25:1–25:41.

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