Boosting to correct inductive bias in text classification
Proceedings of the eleventh international conference on Information and knowledge management
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Combining decision tree and Naive Bayes for classification
Knowledge-Based Systems
Stock market trading rule discovery using two-layer bias decision tree
Expert Systems with Applications: An International Journal
An effective refinement strategy for KNN text classifier
Expert Systems with Applications: An International Journal
A class-feature-centroid classifier for text categorization
Proceedings of the 18th international conference on World wide web
Distinctive characteristics of a metric using deviations from Poisson for feature selection
Expert Systems with Applications: An International Journal
Adapting centroid classifier for document categorization
Expert Systems with Applications: An International Journal
Class-dependent projection based method for text categorization
Pattern Recognition Letters
A subspace decision cluster classifier for text classification
Expert Systems with Applications: An International Journal
An improved K-nearest-neighbor algorithm for text categorization
Expert Systems with Applications: An International Journal
A methodology for mining document-enriched heterogeneous information networks
DS'11 Proceedings of the 14th international conference on Discovery science
Enhancing text classification by information embedded in the test set
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Aircraft interior failure pattern recognition utilizing text mining and neural networks
Journal of Intelligent Information Systems
A high performance centroid-based classification approach for language identification
Pattern Recognition Letters
A generalized cluster centroid based classifier for text categorization
Information Processing and Management: an International Journal
A document is known by the company it keeps: neighborhood consensus for short text categorization
Language Resources and Evaluation
Class-indexing-based term weighting for automatic text classification
Information Sciences: an International Journal
Projected-prototype based classifier for text categorization
Knowledge-Based Systems
| Hi-index | 12.06 |
In the context of text categorization, Centroid Classifier has proved to be a simple and yet efficient method. However, it often suffers from the inductive bias or model misfit incurred by its assumption. In order to address this issue, we propose a novel batch-updated approach to enhance the performance of Centroid Classifier. The main idea behind this method is to take advantage of training errors to successively update the classification model by batch. The technique is simple to implement and flexible to text data. The experimental results indicate that the technique can significantly improve the performance of Centroid Classifier.