Soheila Karbasi

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As the volume of information increases, effective information retrieval methods become more essential to deal with the growth of information. Present document develops a new method to assess the potential role of the term frequency-inverse document frequency measures that are commonly used in text retrieval systems by the vector space model. We carried out(More)
As wellactual clustering algorithms have to deal with explosive growth of documents of various sizes and terms of various frequencies, an appropriate term-weighting scheme has a crucial impact on the overall performance of such systems. Term-weighting is one of the critical process for document retrieval and ranking in most search result clustering systems.(More)
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