Titlebook: Data Visualization and Knowledge Engineering; Spotting Data Points Jude Hemanth,Madhulika Bhatia,Oana Geman Book 2020 Springer Nature Switz

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Relevant Subsection Retrieval for Law Domain Question Answer System,ry entered by the user. Syntactic and semantic analysis of legal documents followed by query processing helps in retrieving inferences from the knowledge base to answer the query. In our research, various models have been analyzed in the opinion of the document matching threshold value. Satisfactory results are obtained by 0.5 threshold value.

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https://doi.org/10.1007/978-3-319-93566-9fusion filtering is applied on brain MRI to remove the noise and improving the image quality. The extracted features provided as data for training the convolutional neural network and performing classification. The proposed research achieves higher accuracy of 98% which is better over existing methods.

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Data Visualization Techniques, Model and Taxonomy,fied by the very fact that almost the amount of data generated since the hundreds of years has been generated in the recent years and it gives us a general sense of how important data has become and it is expected to increase only in the imminent future, and that is why it is important to visualize the data.

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Prevalence of Visualization Techniques in Data Mining,ng and visualization techniques. The chapter also discusses how visualization can be applied in real life applications where data needs to be mined as the most important and initial requirement.A detailed explanation of graphical tools and plotting various types of plots for sample datasets using R software is given.