Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Classifying news stories using memory based reasoning
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Selecting typical instances in instance-based learning
ML92 Proceedings of the ninth international workshop on Machine learning
An example-based mapping method for text categorization and retrieval
ACM Transactions on Information Systems (TOIS)
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
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Feature selection, perceptron learning, and a usability case study for text categorization
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
A vector space model for automatic indexing
Readings in information retrieval
Improved boosting algorithms using confidence-rated predictions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Using a generalized instance set for automatic text categorization
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Forgetting Exceptions is Harmful in Language Learning
Machine Learning - Special issue on natural language learning
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Indexing Techniques for Advanced Database Systems
Indexing Techniques for Advanced Database Systems
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Similarity Indexing with the SS-tree
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
Indexing the Distance: An Efficient Method to KNN Processing
Proceedings of the 27th International Conference on Very Large Data Bases
Chinese Documents Classification Based on N-Grams
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Remembering to forget: a competence-preserving case deletion policy for case-based reasoning systems
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
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Text classification is becoming more and more important with the rapid growth of on-line information available. In this paper, we propose an approach to speedup the process of text classification based on pruning the training corpus. Effective algorithm for text corpus pruning is designed. Experiments over real-world text corpus are carried out, which validates the effectiveness and efficiency of the proposed approach. Our approach is especially suitable for applications of on-line text classification.