A New Document Clustering Algorithm for Topic Discovering and Labeling

Author:

Anaya-Sánchez Henry,Pons-Porrata Aurora,Berlanga-Llavori Rafael

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Cutting, D.R., Pedersen, J.O., Karger, D.R., Tukey, J.W.: Scatter/Gather: a cluster-based approach to browsing large document collections. In: Belkin, N.J., Ingwersen, P., Pejtersen, A.M. (eds.) Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 318–329. ACM, Denmark (1992)

2. Zamir, O., Etzioni, O., Madani, O., Karp, R.M.: Fast and intuitive clustering of web documents. In: Heckerman, D., Mannila, H., Pregibon, D. (eds.) Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD 1997), pp. 287–290. AAAI Press, California (1997)

3. Pons-Porrata, A., Berlanga-Llavori, R., Ruiz-Shulcloper, J.: Topic discovery based on text mining techniques. Inf. Process. Manage. 43(3), 752–768 (2007)

4. Beil, F., Martin, E., Xu, X.: Frequent Term-Based Text Clustering. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 436–442. ACM, Canada (2002)

5. Fung, B.C.M., Wang, K., Martin, E.: Hierarchical Document Clustering Using Frequent Itemsets. In: Barbará, D., Kamath, C. (eds.) Proceedings of the Third SIAM International Conference on Data Mining, pp. 59–70. SIAM, California (2003)

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