Open Access
Issue |
MATEC Web Conf.
Volume 189, 2018
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
|
|
---|---|---|
Article Number | 03004 | |
Number of page(s) | 6 | |
Section | Cloud & Network | |
DOI | https://doi.org/10.1051/matecconf/201818903004 | |
Published online | 10 August 2018 |
- L. Zheng, Z. Wu, J. Yin, J. Li, Y. Deng, S.WTCluster, “Utilizing tags for web services clustering,” International Conference on Service Oriented Computing, pp. 204–218, (2011) [Google Scholar]
- S. Dasgupta, S. Bhat, Y. Lee, “Taxonomic clustering of web service for efficient discovery,” Proceedings of International conference on Information and knowledge management, pp. 1617–1620, (2010) [Google Scholar]
- N. O. Andrews and E. A. Fox, “Recent developments in document clustering,” Dept. CS, Virginia Tech, Blacksburg, VA, Tech. Rep. TR-07-35, (2007) [Google Scholar]
- T. H. Cheng and C. P. Wei, “A clustering-based approach for integrating documentcategory hierarchies,” IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, 38, no. 2, pp. 410–424, Mar. (2008) [CrossRef] [Google Scholar]
- H. Yang and J. Callan, “A metric-based framework for automatic taxonomy induction,” In: Proceedings of the Joint Conference of the ACL and the AFNLP.ACL; 271–279, (2009) [Google Scholar]
- Y. Bengio, H. Schwenk, J. S. Senecal, F. Morin, and J. L. Gauvain, “Neural probabilistic language models,” In Innovations in Machine Learning, pp. 137–186, Springer, (2006) [CrossRef] [Google Scholar]
- K. DeSantis, A. Housen, A Brief Guide to Developmental Theory and Aesthetic Development, New York: Visual Understanding in Education, (2005) [Google Scholar]
- E. Panofsky, Iconography and Iconology: An Introduction to the Study of Renaissance Art, In E. Panofsky (Ed.) Meaning in the Visual Arts: Papers in and on Art History, pp. 26-54, (1975) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.