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

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發(fā)表于 2025-3-28 16:06:06 | 只看該作者
P. Kevin Keith,Florence R. Sullivan,Duy Pham to blend inflating concerns regarding a variety of environmental issues along with socio-economic issues. Shifts in the demeanour of individuals, institutes and firms are presumed as a prerequisite for sustainable development. Through the mode of sustainable development, we can identify our positio
42#
發(fā)表于 2025-3-28 20:18:54 | 只看該作者
https://doi.org/10.1007/978-3-319-93566-9n plays important role in developing robust computer aided diagnosis system. The analysis is performed in proposed work to provide automation in brain tumor segmentation. The adaptive particle swarm optimization along with OTSU is contributed to determine the optimal threshold value. Anisotropic dif
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發(fā)表于 2025-3-29 00:50:11 | 只看該作者
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發(fā)表于 2025-3-29 07:02:18 | 只看該作者
Michael Vallance,Phillip A. Towndrow date, time and others. NER serves as one of the most valuable application tools for varying languages and domains. Despite its popularity and successful deployment in English, this area is still exploratory for the Hindi language. NER in Hindi is a challenging task due to the scarceness of language
45#
發(fā)表于 2025-3-29 10:34:37 | 只看該作者
Processes of Digital Symbol Manipulation,nsignificant as the notification popping up on our cell phones. The data around us is growing exponentially and is expected to grow with a speed unanticipated and hence it becomes very important to store, manage and visualize data. To get a sense of how much data has become relevant to us gets justi
46#
發(fā)表于 2025-3-29 11:27:13 | 只看該作者
Lecture Notes in Computer Sciencentegration of visualization with data mining can prove to be a great resource.With the development of a large number of information visualization techniques over the last decades, the exploration of large sets of data is well supported. In this chapter, we present a detailed explanation of data mini
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發(fā)表于 2025-3-29 17:03:12 | 只看該作者
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發(fā)表于 2025-3-29 22:31:24 | 只看該作者
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發(fā)表于 2025-3-30 01:01:07 | 只看該作者
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發(fā)表于 2025-3-30 05:22:41 | 只看該作者
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