Digital signal processing (3rd ed.): principles, algorithms, and applications
Digital signal processing (3rd ed.): principles, algorithms, and applications
ParaSite: mining structural information on the Web
Selected papers from the sixth international conference on World Wide Web
SiteHelper: a localized agent that helps incremental exploration of the World Wide Web
Selected papers from the sixth international conference on World Wide Web
WebQuery: searching and visualizing the Web through connectivity
Selected papers from the sixth international conference on World Wide Web
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Using Linear Algebra for Intelligent Information Retrieval
Using Linear Algebra for Intelligent 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
Broadening vector space schemes for improving the quality of information retrieval
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Spectral-based document retrieval
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
Connecting the dots: mass, energy, word meaning, and particle-wave duality
QI'12 Proceedings of the 6th international conference on Quantum Interaction
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Most search engines return a lot of unwanted information. A more thorough filtering process can be performed on this information to sort out the relevant documents. A new method called Frequency Domain Scoring (FDS), which is based on the Fourier Transform is proposed. FDS performs the filtering by examining the locality of the keywords throughout the documents. This is examined and compared to the well known techniques Latent Semantic Indexing (LSI) and Cosine measure. We found that FDS obtains better results of how relevant the document is to the query. The other two methods (cosine measure, LSI) do not perform as well mainly because they need a wider variety of documents to determine the topic.