Computational learning theory: an introduction
Computational learning theory: an introduction
C4.5: programs for machine learning
C4.5: programs for machine learning
Automated learning of decision rules for text categorization
ACM Transactions on Information Systems (TOIS)
OHSUMED: an interactive retrieval evaluation and new large test collection for research
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive learning methods for text categorization
ACM Transactions on Information Systems (TOIS)
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
STOC '84 Proceedings of the sixteenth annual ACM symposium on Theory of computing
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Multiclass Classification with Multi-Prototype Support Vector Machines
The Journal of Machine Learning Research
MedicoPort: A medical search engine for all
Computer Methods and Programs in Biomedicine
Efficient Phrase-Based Document Similarity for Clustering
IEEE Transactions on Knowledge and Data Engineering
Text classification based on multi-word with support vector machine
Knowledge-Based Systems
Knowledge-based system for text classification using ID6NB algorithm
Knowledge-Based Systems
Categorization of web pages - Performance enhancement to search engine
Knowledge-Based Systems
Multi-documents Automatic Abstracting based on text clustering and semantic analysis
Knowledge-Based Systems
Olex: Effective Rule Learning for Text Categorization
IEEE Transactions on Knowledge and Data Engineering
Generating production rules from decision trees
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
On strategies for imbalanced text classification using SVM: A comparative study
Decision Support Systems
A decision-tree-based symbolic rule induction system for text categorization
IBM Systems Journal
Aspect Guided Text Categorization with Unobserved Labels
ICDM '09 Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
A novel field learning algorithm for dual imbalance text classification
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Automatic annotation of bibliographical references for descriptive language materials
CLEF'11 Proceedings of the Second international conference on Multilingual and multimodal information access evaluation
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Due to the rapid growth of free text documents available in digital form, efficient techniques of automatic categorization are of great importance. In this paper, we present an efficient rule-based method for categorizing free text documents. The contributions of this research are the formation of lexical syntactic patterns as basic classification features, a categorization framework that addresses the problem of classifying free text with minimal label description, and an efficient learning algorithm in terms of time complexity and F-measure. The framework of ROLEX-SP concentrates on capturing the correct classes of text as well as reducing classification errors. We performed experiments in order to evaluate the proposed method and compare our work with state-of-the-art methods in domain specific source of knowledge. The results indicate that ROLEX-SP outperforms other methods in terms of standard F-measure in medical domain because of the strong definition of MeSH description of medical categories.