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In this paper, we present a new query expansion method for document retrieval by mining additional query terms. The proposed query expansion method uses the vector space model to represent documents and queries. It uses the degrees of importance of relevant terms for finding additional query terms and uses fuzzy rules to infer the weights of the additional(More)
Query terms are used for document retrieval in information retrieval systems. Query reweighting techniques can be used to improve the performance of information retrieval systems. In this paper, we present a new query reweighting method for document retrieval based on neural networks for dealing with document retrieval based on the user's relevant feedback.(More)
The present study utilizes VirtualBox virtual environment technology to develop the Personal, small size, Big Data platform that can effectively replicate a VM Hadoop system and provides an environment for developers to easily design and implement Hadoop Map/Reduce programming. This study also performs the benchmark by using the VM Hadoop, small-cluster(More)
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