Instance-based learning algorithms, Machine Learning, vol.57, issue.1, pp.37-66, 1991. ,
DOI : 10.1007/BF00153759
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.635
Clustering analysis for data with multiple labels, Proceedings of the IASTED International Conference on Databases and Applications (DBA), 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00104603
Using mutual information for selecting features in supervised neural net learning, IEEE Transactions on Neural Networks, vol.5, issue.4, pp.537-550, 1994. ,
DOI : 10.1109/72.298224
Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
DOI : 10.1023/A:1010933404324
A review of feature selection methods on synthetic data, Knowledge and Information Systems, vol.97, issue.1, pp.1-37, 2012. ,
DOI : 10.1007/s10115-012-0487-8
Classification and Regression Trees, BRE, vol.84, 1984. ,
Feature Selection Using Principal Feature Analysis, 2002. ,
Latent Semantic Kernels for Feature Selection, 2000. ,
Classifying French Verbs using French and English Lexical Resources Proceedings of ACL 2012, 2012. ,
An extensive empirical study of feature selection metrics for text classification, The Journal of Machine Learning Research, vol.3, pp.1289-1305, 2003. ,
Mesures de qualité de clustering de documents : Prise en compte de la distribution des mots-clés, Proceedings of the 10th International Francophone Conference on Knowledge Extraction and Management, 2010. ,
Gene selection for cancer classification using support vector machines, Machine learning 46, pp.389-422, 2002. ,
An introduction to variable and feature selection, The Journal of Machine Learning Research, vol.3, pp.1157-1182, 2003. ,
Feature Selection for Machine Learning: Comparing a Correlation- Based Filter Approach to the Wrapper, Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, pp.235-239, 1999. ,
Enhancing Patent Expertise through Automatic Matching with Scientific Papers, Discovery Science LNCS, vol.7569, pp.299-312, 2012. ,
DOI : 10.1007/978-3-642-33492-4_24
URL : https://hal.archives-ouvertes.fr/hal-00962386
Improvements to platt's smo algorithm for svm classifier design, Neural Computation, vol.13, issue.3, pp.637-649, 2001. ,
Wrappers for feature subset selection, Artificial Intelligence, vol.97, issue.1-2, pp.273-324, 1997. ,
DOI : 10.1016/S0004-3702(97)00043-X
Estimating attributes: Analysis and extensions of RELIEF, European Conference on Machine Learning, pp.171-182, 1994. ,
DOI : 10.1007/3-540-57868-4_57
Feature selection methods and algorithms, International Journal on Computer Science and Engineering, vol.3, issue.5, pp.1787-1797, 2011. ,
Fast Feature Selection Using Partial Correlation for Multivalued Attributes, Principles of Data Mining and Knowledge Discovery, édité par Djamel A. Zighed, 1910. ,
New classification quality estimators for analysis of documentary information: Application to patent analysis and web mapping, Scientometrics, vol.60, issue.3, p.60, 2004. ,
DOI : 10.1023/B:SCIE.0000034386.05278.e8
URL : https://hal.archives-ouvertes.fr/hal-00105509
Unsupervised recall and precision measures: a step towards new efficient clustering quality indexes, Proceedings of the 19th International Conference on Computational Statistics (COMPSTAT'2010), 2010. ,
Mining research topics evolving over time using a diachronic multi-source approach, Proceedings of ICDM 2010 International Workshop on Mining Multiple Information Sources, 2010. ,
A New Efficient and Unbiased Approach for Clustering Quality Evaluation, Proceedings of PAKDD 2010 2nd International Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), 2011. ,
DOI : 10.1007/978-3-642-28320-8_18
URL : https://hal.archives-ouvertes.fr/hal-00955498
Variations to incremental growing neural gas algorithm based on label maximization, Proceedings of IJCNN 2011, 2011. ,
A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research, Scientometrics, vol.93, pp.151-166, 2012. ,
Automatic websites classification and retrieval using websites communication signatures, th International Conference on WIS and 13 th Collnet Meeting, 2012. ,
Feature selection with a perceptron neural net. Feature Selection for Data Mining: Interfacing Machine Learning and Statistics, p.131, 2006. ,
Using Information Gain Attribute Evaluation to Classify Sonar Targets, International Journal of Image Processing, 2008. ,
Feature selection based on mutual information criteria of maxdependency , max-relevance, and min-redundancy. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.27, issue.8, pp.1226-1238, 2005. ,
C4.5: Programs for Machine Learning, 1993. ,
Construction d'arbres de d??cision par optimisation, Revue Extraction des Connaissances et Apprentissage, pp.685-703, 2002. ,
DOI : 10.3166/ria.16.685-703
Automatic processing of foreign language documents, 1971. ,
Term-weighting approaches in automatic text retrieval, Information Processing & Management, vol.24, issue.5, pp.513-523, 1988. ,
DOI : 10.1016/0306-4573(88)90021-0
Probabilistic part-of-speech tagging using decision trees, Proceedings of International Conference on New Methods in Language Processing, 1994. ,
Data mining, ACM SIGMOD Record, vol.31, issue.1, 2005. ,
DOI : 10.1145/507338.507355
Text categorization based on regularized linear classification methods, Information Retrieval, vol.4, issue.1, pp.5-31, 2001. ,
DOI : 10.1023/A:1011441423217
A Novel Chinese Text Feature Selection Method Based on Probability Latent Semantic Analysis, Advances in Neural Network, 2010. ,
DOI : 10.1007/978-3-642-13318-3_35