Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
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
Text classification using string kernels
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Fourier Domain Scoring: A Novel Document Ranking Method
IEEE Transactions on Knowledge and Data Engineering
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
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Recently, Fourier and cosine discrete transformations have been proposed for textual document retrieval and ranking. The advantage of those methods is that they use spatial information about flow of terms through documents. Here, we investigate the question if consideration of important document elements like titles, sections, sentences, etc. improves efficiency the original Fourier domain scoring method.