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Titlebook: Computer Networks, Big Data and IoT; Proceedings of ICCBI A.Pasumpon Pandian,Xavier Fernando,Syed Mohammed S Conference proceedings 2021 Th

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發(fā)表于 2025-3-30 10:58:55 | 只看該作者
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發(fā)表于 2025-3-30 14:05:06 | 只看該作者
Cause of Disease and Causal Inference,ze the public opinions or views about their own political party. A program is developed which collects the reviews or text posts of people and transfer it to the next module called pre-processing or cleansing. This module is to remove URLs, special symbols, Junk text, stop words, and tokenize the se
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發(fā)表于 2025-3-30 18:02:37 | 只看該作者
Textbook of Clinical Epidemiologya analytics are presented, and their potential in addressing the application-specific challenges is also described. Henceforth, this research article leverages significant advantages to researchers and experts, who wants to gather and analyse the social media data.
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發(fā)表于 2025-3-30 20:43:14 | 只看該作者
,Maximizing Network Lifetime in WSN Using Ant Colony Algor?thm,mal energy utilization throughout the network. ACO algorithm it is understandable that the network time increases and extends the life cycle of the wireless sensor network since it manages the energy and power management. The Greedy Algorithm creates the problem of selecting a communication path usi
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發(fā)表于 2025-3-31 00:51:41 | 只看該作者
56#
發(fā)表于 2025-3-31 08:12:10 | 只看該作者
An Experimental Analysis on Selfish Node Detection Techniques for MANET Based on MSD and MBD-SNDT,y with all the different nodes. In this manner, selfish conduct of nodes could lessen the general information openness in the network. At first, a design model of a MANET is built and the correspondence between the versatile is started. The packet drop can occur in MANET because of the selfish node
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發(fā)表于 2025-3-31 10:55:46 | 只看該作者
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發(fā)表于 2025-3-31 15:55:26 | 只看該作者
Eclat_RPGrowth: Finding Rare Patterns Using Vertical Mining and Rare Pattern Tree,lated by using intersection of BitSets for corresponding .???1 itemsets. Also, this research work proposes a variant of Eclat_RPGrowth as Eclat_PRPgrowth. Both the algorithms are outperformed in execution time, and with the number of rare items generated.
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發(fā)表于 2025-3-31 21:30:12 | 只看該作者
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發(fā)表于 2025-3-31 22:47:17 | 只看該作者
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