1 |
Antonellis, I. and Gallopoulos, E., Exploring term-document matrices from matrix models in text mining, SIAM Text Mining Workshop, SIAM Conference on Data Mining, 2006.
|
2 |
Berry, M. W., Survey of text mining : Clustering, Classification, and Retrieval, Springer-Verlag, 2003.
|
3 |
Cai, D., He, X., Wen, J. R., Han, J., and Ma, W. Y., Support Tensor Machines for Text Categorization, Technical Report UIUCDCS-R-2006-2714, 2006.
|
4 |
Cavnar, W. B. and Trenkle, J. M., N-Gram-Based Text Categorization, Proceedings of 3rd Annual Symposium on Document Analysis and Information Retrieval, pp. 161-175, 1994.
|
5 |
http://www.emc.com/collateral/analyst-reports/idc-extracting-value-from-chaosar.pdf.
|
6 |
Faulkner, A., Automated Classification of Stance in Student Essays : An Approach Using Stance Target Information and the Wikipedia Link-Based Measure, Science, Vol. 376, No. 12, p. 86, 2014.
|
7 |
Gabrilovich, E. and Markovitch, S., Feature generation for text categorization using world knowledge, Proceedings of International Joint Conferences on Artificial Intelligence, pp. 1048-1053, 2005.
|
8 |
Howard, T. and Croft, W. B., Inference networks for document retrieval, Proceedings of International ACM SIGIR, pp. 1-24, 1989.
|
9 |
http://www.statsoft.com/textbook/text-mining/.
|
10 |
Jiang, C., Coenen, F., Sanderson, R., and Zito, M., Text Classification Using Graph Mining-Based Feature Extraction, Knowledge-Based Systems, Vol. 23, No. 4, pp. 302-308, 2009.
|
11 |
Kimbrough, S., Executive Briefing : Text Mining for Business Intelligence, INSEAD-UNILEVER workshop, 2006.
|
12 |
Lancaster, F. W. and Fayen, E. G., Information Retrieval On-Line, Melville Publishing Co., 1973.
|
13 |
Maron, M. and Kuhns, J., On relevance, probabilistic indexing and information retrieval, Journal of the Association for Computing Machinery, Vol. 7, pp. 216-244, 1960.
DOI
|
14 |
Martinez, D. and Baldwin, T., Word sense disambiguation for event trigger word detection, Proceedings of the ACM fourth international workshop on Data and text mining in biomedical informatics, pp. 41-48, 2010.
|
15 |
Navigli, R., Word sense disambiguation : A survey, ACM Computing Surveys, Vol. 41, No. 2, pp. 1-69, 2009.
|
16 |
Ribeiro, B. and Muntz, R. A., Belief Network Model for IR, Proceedings of International ACM SIGIR, pp. 253-260, 1996.
|
17 |
Salton, G., Wong, A., and Yang, C. S., A Vector Space Model for Automatic Indexing, Communications of the ACM, Vol. 18, No. 11, pp. 613-620, 1975.
DOI
ScienceOn
|
18 |
Schenker, A., Last, M., Bunke, H., and Kandel, A., Classification of Web Documents Using a Graph Model, Proceedings of 7th International Conference on Document Analysis and Recognition, pp. 240-244, 2003.
|
19 |
Sui, Z., Zhao, Q., and Liu, Y., Inducting Concept Hierarchies from Text based on FCA, Proceedings of Fourth International Conference on Innovative Computing, Information and Control, pp. 1080-1083, 2009.
|
20 |
Witten, I. H., Text Mining, http://www.cs.waikato.ac.nz/-ihw/papers/04-IHW-Textmining.pdf.
|
21 |
Tamara, G. K. and Bader, B., Tensor Decompositions and Applications, SIAM Review, Vol. 51, No. 3, pp. 455-500, 2009.
DOI
ScienceOn
|
22 |
The Value and Benefits of Text Mining, JISC Digital Infrastructure, 2012.
|
23 |
Wu, J., Xuan, Z., and Pan, D., Enhancing Text Representation for Classification Tasks with Semantic Graph Structures, International Journal of Innovative Computing, Information Control, Vol. 7, No. 5(B), pp. 2689-2698, 2011.
|
24 |
Yeon, J., Shim, J., and Lee, S. G., Outlier Detection Techniques for Biased Opinion Discovery, Journal of Society for e-Business Studies, Vol. 18, No. 4, pp. 315-326, 2013.
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DOI
|
25 |
Zhang, B., Yan, J., Chen, Z., Liu, W., Bai, F., and Chien, L., Text representation : from vector to tensor, Fifth IEEE International Conference on Data Mining, pp. 725-728, 2005.
|