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Titlebook: Computational Intelligence in Data Mining - Volume 2; Proceedings of the I Lakhmi C. Jain,Himansu Sekhar Behera,Durga Prasad Conference pr

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41#
發(fā)表于 2025-3-28 17:35:12 | 只看該作者
Computational Intelligence in Data Mining - Volume 2Proceedings of the I
42#
發(fā)表于 2025-3-28 19:40:44 | 只看該作者
Multi-objective Design Optimization of Three-Phase Induction Motor Using NSGA-II Algorithm,ble and the task of comparing the different options can be very difficult. A number of?parameters are involved in the design optimization of the induction motor?and the performance relationship between the?parameters?also is implicit. In this paper, a multi-objective problem is considered in which t
43#
發(fā)表于 2025-3-29 00:49:39 | 只看該作者
44#
發(fā)表于 2025-3-29 07:08:54 | 只看該作者
A Context Sensitive Thresholding Technique for Automatic Image Segmentation,tes the spatial contextual information of the image. In this work we proposed a thresholding technique based on energy curve of the image to find out the optimum number of thresholds for image segmentation. The proposed method applies concavity analysis technique existing in the literature on the en
45#
發(fā)表于 2025-3-29 10:49:37 | 只看該作者
46#
發(fā)表于 2025-3-29 11:55:34 | 只看該作者
An Integrated Approach to Improve the Text Categorization Using Semantic Measures,ification and extracting semantic knowledge is a tedious task. Most of the existing methods perform the clustering based on factors like term frequency, document frequency and feature selection methods. But still accuracy of clustering is not up to mark. In this paper we proposed an integrated appro
47#
發(fā)表于 2025-3-29 16:35:22 | 只看該作者
48#
發(fā)表于 2025-3-29 20:51:34 | 只看該作者
FPGA Implementation of Various Image Processing Algorithms Using Xilinx System Generator,ncement, contrast stretching, image thresholding, parabola transformation, boundary extraction for both grayscale and color images. The synthesis tool used is Xilinx ISE 14.7 and designed in simulink (MATLAB 2012a) workspace. The existing and modified architectures is implemented using Xilinx System
49#
發(fā)表于 2025-3-30 03:16:35 | 只看該作者
,A Study of Interestingness Measures for Knowledge Discovery in Databases—A Genetic Approach, best one according to the situation. There is a wide variety of interestingness measures available in data mining literature and it is difficult for user to select appropriate measure in a particular application domain. The main contribution of the paper is to compare these interestingness measures
50#
發(fā)表于 2025-3-30 07:40:46 | 只看該作者
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