Convergence theory for fuzzy c-means: counterexamples and repairs
IEEE Transactions on Systems, Man and Cybernetics
Algorithms for clustering data
Algorithms for clustering data
International Journal of Computer Vision
Pattern recognition using neural networks: theory and algorithms for engineers and scientists
Pattern recognition using neural networks: theory and algorithms for engineers and scientists
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Modern Information Retrieval
A Novel Web Text Mining Method Using the Discrete Cosine Transform
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Web Intelligence
Intelligent exploration of the web
Intelligent exploration of the web
Textual information retrieval with user profiles using fuzzy clustering and inferencing
Intelligent exploration of the web
Fourier Domain Scoring: A Novel Document Ranking Method
IEEE Transactions on Knowledge and Data Engineering
Knowledge-Based Clustering: From Data to Information Granules
Knowledge-Based Clustering: From Data to Information Granules
Active Hypercontours and Contextual Classification
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
Advances in Web Intelligence and Data Mining (Studies in Computational Intelligence)
Advances in Web Intelligence and Data Mining (Studies in Computational Intelligence)
On Textual Documents Classification Using Fourier Domain Scoring
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Advances in Intelligent Web Mastering: Proceedings of the 5th Atlantic Web Intelligence Conference WIC2007, Fontainebleau, France, June 25 27, 2007
Classification of RSS-Formatted documents using full text similarity measures
ICWE'05 Proceedings of the 5th international conference on Web Engineering
Web textual documents scoring based on discrete transforms with fuzzy weighting
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Adaptive potential active hypercontours
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Web mining in soft computing framework: relevance, state of the art and future directions
IEEE Transactions on Neural Networks
Supervised Textual Document Classification Using Neuronal Group Learning
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
| Hi-index | 0.00 |
In this paper, a new method of supervised classification of documents is proposed. It utilizes discrete trasforms to extract features from classified objects and adopts adaptive potential active hypercontours (APAH) for document classification. The idea of APAH generalizes classic contour methods of image segmentation. It has two main advantages: it can use almost any knowledge during the search for an optimal classification function and it can operate in a feature space where only metric is defined. Here, both of them are utilized - the first one by using expert knowledge about significance of documents from training set and the second one by inducing new metrics in feature spaces. The method has been evaluated on the subset of open directory project (ODP) database and compared with k-NN, the well known classification technique.