Web Feed Clustering and Tagging Aggregator Using Topological Tree-Based Self-Organizing Maps

Author:

Freeman Richard T.

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Freeman, R.T.: Web Document Search, Organisation and Exploration Using Self-Organising Neural Networks, PhD Thesis, Faculty of Engineering and Physical Sciences, School of Electrical & Electronic Engineering, University of Manchester, Manchester (2004)

2. Qamra, A., Tseng, B., Chang, E.Y.: Mining blog stories using community-based and temporal clustering. In: 15th ACM international conference on Information and knowledge management CIKM, pp. 58–67. ACM, New York (2006)

3. Lecture Notes in Artificial Intelligence;G. Paliouras,2006

4. Li, X., Yan, J., Deng, Z.-H., Ji, L., Fan, W., Zhang, B., Chen, Z.: A Novel Clustering-based RSS Aggregator. In: 16th international conference on World Wide Web, pp. 1309–1310. ACM, New York (2007)

5. Agarwal, N., Galan, M., Liu, H., Subramanya, S.: Clustering Blogs with Collective Wisdom. In: 8th International Conference on Web Engineering, ICWE 2008, pp. 336–339. IEEE, Los Alamitos (2008)

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