Saturday, August 25, 2007

Paper References

I have received a number enquiries about the research I have undertaken thus far in my project. In response, I have decided to post the resources I have included to date:
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3. AMARASIRI, R., CEDDIA, J. & ALAHAKOON, D. (2005) Exploratory Data Mining Lead by Text Mining Using a Novel High Dimensional Clustering Algorithm. Fourth International Conference on Machine Learning and Applications (ICMLA'05). IEEE Computer Society.
4. ATKINSON-ABUTRIDY, J., MELLISH, C. & AITKEN, S. (2004) Combining Information Extraction with Genetic Algorithms for Text Mining. IEEE Intelligent Systems, 22-30.
5. AUMANN, Y., FELDMAN, R., YEHUDA, Y. B., LANDAU, D., LIPHSTAT, O. & SCHLER, Y. (1999) Circle Graphs: New Visualization Tools for Text-Mining. J.M. Zytkow and J. Rauch (Eds): PKDD'99, 277-282.
6. CALVO, R., JOSE, J. & ADEVA, G. (2006) Mining Text with Pimiento. IEEE Internet Computing, 27- 35.
7. CHANG, H., HSU, C. & DENG, Y. (2004) Unsupervised Document Clustering Based on Keyword Clusters. International Symposium on Communications and Information Technologies 2004 (ISCIT 2004). Sapporo, Japan.
8. CHEN, J., YAN, J., ZHANG, B., YANG, Q. & CHEN, Z. (2006) Diverse Topic Phrase Extraction through Latent Semantic Analysis. Sixth International Conference on Data Mining (ICDM'06). IEEE Computer Society.
9. CODY, W., KREULEN, J., KRISHNA, V. & SPANGLER, W. (2002) The integration of business intelligence and knowledge management. IBM Systems Journal, 41, 697-713.
11. EL-BELTAGY, S. R. (2006) KP-Miner: A Simple System for Effective Keyphrase Extraction. IEEE, 1-5.
12. FAN, W., WALLACE, L. & RICH, S. (2006) Tapping the Power of Text Mining. Communications of the ACM, 49, 77-82.
13. GLECH, D. & ZHUKOV, L. (2003) SVD Subspace Projections for Term Suggestion Ranking and Clustering. Claremont, California, Harvey Mudd College, Yahoo! Research Labs.
14. GRIMES, S. (2003) Decision Support: The Word on Text Mining. Intelligent Entreprise, 6, 12-13.
15. HOFMANN, D. G. T. (2006) Non-redundant data clustering. Knowledge and Information Systems, 1-24.
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17. IIRITANO, S. & RUFFOLO, S. (2001) Managing the Knowledge Contained in Electronic Documents: a Clustering Method for Text Mining. IEEE, 454-458.
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23. MOTES-Y-GOMEZ, M., A.GELBUKH, LOPEZ-LOPEZ, A. & BAEZA-YATES, R. (2001) Text Mining with Conceptual Graphs. IEEE, 898-903.
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1 comment:

Research Writer said...

Many institutions limit access to their online information. Making this information available will be an asset to all.
Term Paper Writing