AN ENHANCED TEXT DOCUMENT CLASSIFICATION BASED ON TERMS AND SYNONYMS RELATION

[1]  Deng Cai,et al.  Manifold Adaptive Experimental Design for Text Categorization , 2012, IEEE Transactions on Knowledge and Data Engineering.

[2]  Der-Chiang Li,et al.  Extending Attribute Information for Small Data Set Classification , 2012, IEEE Transactions on Knowledge and Data Engineering.

[3]  Yuefeng Li,et al.  Effective Pattern Discovery for Text Mining , 2012, IEEE Transactions on Knowledge and Data Engineering.

[4]  Shengli Wu,et al.  Combination of Evidence-Based Classifiers for Text Categorization , 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

[5]  Naonori Ueda,et al.  Improving Classifier Performance Using Data with Different Taxonomies , 2011, IEEE Transactions on Knowledge and Data Engineering.

[6]  Christian R. Huyck,et al.  Cell assemblies for query expansion in Information Retrieval , 2011, The 2011 International Joint Conference on Neural Networks.

[7]  George Tambouratzis,et al.  Word-Map Systems for Content-Based Document Classification , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[8]  Chin-Hui Lee,et al.  A Regularized Maximum Figure-of-Merit (rMFoM) Approach to Supervised and Semi-Supervised Learning , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[9]  William M. Pottenger,et al.  Higher Order Naïve Bayes: A Novel Non-IID Approach to Text Classification , 2011, IEEE Transactions on Knowledge and Data Engineering.

[10]  Sheng-Tun Li,et al.  Noise control in document classification based on fuzzy formal concept analysis , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[11]  Liang Chen,et al.  An Improved Approach to Terms Weighting in Text Classification , 2011, 2011 International Conference on Computer and Management (CAMAN).

[12]  Wenyin Liu,et al.  Term Weighting Schemes for Question Categorization , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Weibin Deng.  A hybrid algorithm for text classification based on rough set , 2011, 2011 3rd International Conference on Computer Research and Development.

[14]  Shie-Jue Lee,et al.  A Fuzzy Self-Constructing Feature Clustering Algorithm for Text Classification , 2011, IEEE Transactions on Knowledge and Data Engineering.

[15]  Fei Wang,et al.  Semisupervised Learning Using Negative Labels , 2011, IEEE Transactions on Neural Networks.

[16]  Khairullah Khan,et al.  An Overview of E-Documents Classification , 2011 .

[17]  Lingling Liu,et al.  A new feature selection method based on distributional information for Text Classification , 2010, 2010 IEEE International Conference on Progress in Informatics and Computing.

[18]  Makoto Suzuki,et al.  On a new model for automatic text categorization based on Vector Space Model , 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

[19]  Fang Lu,et al.  A refined weighted K-Nearest Neighbors algorithm for text categorization , 2010, 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering.

[20]  Christian Wartena,et al.  Keyword Extraction Using Word Co-occurrence , 2010, 2010 Workshops on Database and Expert Systems Applications.

[21]  Gongde Guo,et al.  Using class-dependent projection for text categorization , 2010, 2010 International Conference on Machine Learning and Cybernetics.

[22]  Han Tong Loh,et al.  Domain concept handling in automated text categorization , 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications.

[23]  Jian Su,et al.  Supervised and Traditional Term Weighting Methods for Automatic Text Categorization , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  Zhi-Hua Zhou,et al.  Distributional features for text categorization , 2006 .

[25]  Atika Mustafa,et al.  Knowledge Discovery using Text Mining: A Programmable Implementation on Information Extraction and Categorization , 2009 .

[26]  Jian Pei,et al.  Data Mining: Concepts and Techniques, 3rd edition , 2006 .

[27]  Man Lan,et al.  A comparative study on term weighting schemes for text categorization , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

[28]  Roberto Basili,et al.  Complex Linguistic Features for Text Classification: A Comprehensive Study , 2004, ECIR.

[29]  Jörg Kindermann,et al.  Text Categorization with Support Vector Machines. How to Represent Texts in Input Space? , 2002, Machine Learning.

[30]  Yoram Singer,et al.  BoosTexter: A Boosting-based System for Text Categorization , 2000, Machine Learning.

[31]  Yiming Yang,et al.  An Evaluation of Statistical Approaches to Text Categorization , 1999, Information Retrieval.

[32]  Jinwoo Park,et al.  Improving text categorization using the importance of sentences , 2004, Inf. Process. Manag..

[33]  Herbert Schildt.  Java 2: The Complete Reference, Fifth Edition , 2002 .

[34]  Fabrizio Sebastiani,et al.  Machine learning in automated text categorization , 2001, CSUR.

[35]  Stan Matwin,et al.  A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization , 2001 .

[36]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[37]  Christoph Goller,et al.  Automatic Document Classification - A thorough Evaluation of various Methods , 2000, ISI.

[38]  Stan Matwin,et al.  Feature Engineering for Text Classification , 1999, ICML.

[39]  Susan T. Dumais,et al.  Inductive learning algorithms and representations for text categorization , 1998, CIKM '98.

[40]  Andrew McCallum,et al.  Distributional clustering of words for text classification , 1998, SIGIR '98.

[41]  Thorsten Joachims,et al.  Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.

[42]  Johannes Fürnkranz,et al.  A Study Using $n$-gram Features for Text Categorization , 1998 .

[43]  Ellen Riloff,et al.  A Case Study in Using Linguistic Phrases for Text Categorization on the WWW , 1998 .

[44]  Herbert Schildt,et al.  Java 2: The Complete Reference , 1997 .

[45]  Daphne Koller,et al.  Hierarchically Classifying Documents Using Very Few Words , 1997, ICML.

[46]  Ken Lang,et al.  NewsWeeder: Learning to Filter Netnews , 1995, ICML.

[47]  Sholom M. Weiss,et al.  Automated learning of decision rules for text categorization , 1994, TOIS.

[48]  David D. Lewis,et al.  An evaluation of phrasal and clustered representations on a text categorization task , 1992, SIGIR '92.