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Text Mining Approaches for Biomedical Data This book highlights text mining techniques for biomedical and health databases, literature, and clinical […]
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From Co-occurrence to Lexical Cohesion for Automatic Query Expansion This paper explores query expansion (QE) in Information Retrieval Systems (IRS), […]
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Improving effectiveness of query expansion using information theoretic approach This paper explores automatic query expansion to improve information retrieval performance […]
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Machine learning approach for automatic document summarization This paper investigates a machine learning-based approach for automatic document summarization, focusing on […]
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Genetic algorithm based model for effective document retrieval This paper proposes a genetic algorithm-based model to optimize similarity measures in […]
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A Framework for Automatic Query Expansion This paper presents a framework and computational model for automatic query expansion using pseudo-relevance […]
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A trainable document summarizer using Bayesian classifier approach This paper investigates a machine learning-based approach for document summarization, focusing on […]
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Co-occurrence based predictors for estimating query difficulty This paper explores query difficulty prediction to assess how reliably an information retrieval […]
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Selecting Effective Expansion Terms for Better Information Retrieval This paper explores automatic query expansion to improve information retrieval performance by […]
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THESAURUS AND QUERY EXPANSION This paper explores how query expansion improves information retrieval by addressing challenges like word mismatches and […]
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A GA Based Approach for Effective Information Retrieval Our work explored using Genetic Algorithms (GAs) to enhance Information Retrieval (IR) […]
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A Framework for Efficient Document Ranking Using Order and Non-Order Based Fitness Function This paper explores the use of Genetic […]
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Improving effectiveness of query expansion using information theoretic approach Automatic query expansion is a widely used method to enhance the […]
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