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)
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
RainForest—A Framework for Fast Decision Tree Construction of Large Datasets
Data Mining and Knowledge Discovery
Learning Approaches for Detecting and Tracking News Events
IEEE Intelligent Systems
Maximizing Text-Mining Performance
IEEE Intelligent Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Compression by Model Combination
DCC '98 Proceedings of the Conference on Data Compression
The context-tree weighting method: basic properties
IEEE Transactions on Information Theory
Text Mining for a Clear Picture of Defect Reports: A Praxis Report
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Text categorization for a comprehensive time-dependent benchmark
Information Processing and Management: an International Journal
Focused named entity recognition using machine learning
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Mathematical sciences in the nineties
IBM Journal of Research and Development
Prospective recruitment of patients with congestive heart failure using an ad-hoc binary classifier
Journal of Biomedical Informatics
Identification of patients with congestive heart failure using a binary classifier: a case study
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Uncovering the to-dos hidden in your in-box
IBM Systems Journal
Learning rules with negation for text categorization
Proceedings of the 2007 ACM symposium on Applied computing
A study of local and global thresholding techniques in text categorization
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Text classification: a recent overview
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Semantic Space models for classification of consumer webpages on metadata attributes
Journal of Biomedical Informatics
ROLEX-SP: Rules of lexical syntactic patterns for free text categorization
Knowledge-Based Systems
An ontology-driven decision support system for land delivery in Zambia
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Examining text categorization methods for incidents analysis
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
A novel probabilistic feature selection method for text classification
Knowledge-Based Systems
| Hi-index | 0.00 |
We present a decision-tree-based symbolic rule induction system for categorizing text documents automatically. Our method for rule induction involves the novel combination of (1) a fast decision tree induction algorithm especially suited to text data and (2) a new method for converting a decision tree to a rule set that is simplified, but still logically equivalent to, the original tree. We report experimental results on the use of this system on some practical problems.