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Titlebook: Innovations in Computer Science and Engineering; Proceedings of the S H. S. Saini,Rishi Sayal,Rajkumar Buyya Conference proceedings 2019 Sp

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樓主: JOLT
41#
發(fā)表于 2025-3-28 14:57:28 | 只看該作者
42#
發(fā)表于 2025-3-28 21:21:47 | 只看該作者
Novel Semantic Discretization Technique for Type-2 Diabetes Classification Model,th its value. The semantics of the data refer to the domain knowledge inherent in the data. The semantics of data is derived from the data value itself. Objective and context of the study also contribute significantly to identifying semantic of the data. Since no explicit ontology is associated with
43#
發(fā)表于 2025-3-29 02:16:00 | 只看該作者
Automatic Selection of Sensitive Attributes in PPDP,s preserving privacy of individual. A remedy to this is data scrambling. Numerous algorithms are formulated to replace lawful information by fictitious but that is practical. Yet, nothing was proposed to automate the detection associated with information scrambling which is very much essential. In t
44#
發(fā)表于 2025-3-29 03:55:58 | 只看該作者
45#
發(fā)表于 2025-3-29 08:39:11 | 只看該作者
46#
發(fā)表于 2025-3-29 13:10:38 | 只看該作者
An Ensemble Classifier Characterized by Genetic Algorithm with Decision Tree for the Prophecy of HeNeural Networks, Support Vector Machines, and K-nearest neighbor algorithms. We propose a hybrid technique of ensemble classifier to provide a better solution for the classification problem. The output from this hybrid scheme gives the optimized feature. This output is then given as the input to the
47#
發(fā)表于 2025-3-29 18:24:51 | 只看該作者
A Novel Approach for Predicting Nativity Language of the Authors by Analyzing Their Written Texts,solves the problems faced in Bag Of Words model. In this work, we concentrated on prediction of nativity language of the authors from the corpus collected from hotel reviews. Different classification algorithms were used from WEKA tool to predict the accuracy of nativity language of an author’s text
48#
發(fā)表于 2025-3-29 23:05:22 | 只看該作者
An Algorithmic Approach for Mining Customer Behavior Prediction in Market Basket Analysis,r transactions. Frequent items calculate with respect to support and Association rule determines with respect to confidence. This paper tells about how customer behavior predicted based on the customer purchase items. This technique generally used in the agricultural field, marketing, and education
49#
發(fā)表于 2025-3-30 03:11:27 | 只看該作者
50#
發(fā)表于 2025-3-30 06:01:49 | 只看該作者
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