[PDF] Top 20 Using rough set through for classification of image segmentation data
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Using rough set through for classification of image segmentation data
... of data mining decision systems in order to improve their impact and help facilitate practitioners’ ...information data sets and utilizing the data in hand for a sound prediction in the similar ... See full document
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Machine Learning Technique For Enhancing Classification Performance In Data Summarization Using Rough Set And Genetic Algorithm
... of data will grow rapidly and showed a significant increase every ...This data comes from different resources and services that produce a big volume of data that need to manage and reuse or some ... See full document
12
Sentiment Classification using Rough Set based Hybrid Feature Selection
... Sentiment classification using Machine Learning (ML) methods faces the problem of high dimen- sionality of feature ...algorithms. Rough Set Theory based feature selection method finds the ... See full document
5
Rough Set Approach for Generation of Classification Rules for Malaria
... of Rough Set can be used to find dependence relationship among data, evaluate the importance of attributes, discover the patterns of data, learn common decision-making rules, reduce all ... See full document
5
A VPRS based Approach for Enhancement in the Classification Efficiency of Machinery Datasets
... defined. Data-mining algorithms have been employed in many classification ...of classification method has been adapted by using k-fold technique as a partitioning method of datasets to improve ... See full document
5
E Learning Attributes Selection Through Rough Set Theory and Data Mining
... log data downloaded from e-learning portal and the data attributes are shown in table 1 and table ...their data distribution types like the presence of a lot of missing values, or with ... See full document
5
An Efficient Way of Finding Optimal Path using Protein Data Set: Ant Colony Optimization with Rough Set Theory for Feature Selection
... family classification and so ...the data mining process to classify the several problems ...The classification process is represented in terms of the hierarchy of classes which has some of the ... See full document
7
A New Image Segmentation Algorithm Based on Particle Swarm Optimization and Rough Set
... Dr. Taie is the author of "Online Price Recommendation System for Shopping Used Cell Phones", Research Journal of Applied Sciences, Engineering and Technology, "Challenge of Intelligent Transport System", ... See full document
9
Diabetes data prediction using data classification algorithm
... the classification algorithms are compared by utilizing matrix and classification ...diabetes data for his effort and the decision tree using WEKA has been used to put up the prediction ... See full document
5
Color Image Segmentation using Rough Set based K Means Algorithm
... based image segmentation methods can be found in the ...better segmentation of an ...in image segmentation for detection of region of interest (ROI), object detection, skin ... See full document
6
Image Segmentation using Rough Set based Fuzzy K means Algorithm
... Image segmentation is one of the most challenging tasks in image ...recognition. Image mining deals with the extraction of implicit knowledge, image data relationship, or other ... See full document
5
Title: Image Mining Techniques to Enhance the Classification Accuracy on Brain Glioma
... our image segmentation Classification approach, we used three benchmark data ...BRAT data set ...BRAT image tests files are in Grey Images transfer syntax with „„PWA‟‟ ... See full document
15
Review on Multi Classifier Based Disease Recoganization of Cotton Leaves
... testing data are taken in which 9 images with rust disease, 7 images with ring spot disease, and 14 images with yellow spot ...for classification SVM classifier is ...of segmentation method only 80% ... See full document
5
Hyperspectral Image Segmentation and Classification using FODPSO
... of data channels. Due to the high dimensionality of the hyperspectral data, it is difficult to design accurate and efficient image segmentation algorithms for such ...the segmentation ... See full document
6
A New Decision Tree Approach to Image Data Mining and Segmentation
... input image dataset is shown in Fig. 2. Each pixel value of the raw image represents the gray level of a ...label image represents the class label of the ...raw image contains the capital ... See full document
10
Preprocessing The Medical Image Using Enhanced Feature Learning & Classification Approaches
... health-care data was small. Because of the enormous headway in image procurement gadgets, the information is very huge (moving to large information), that makes it trying and intriguing for image ... See full document
6
Classification of Human Organ Using Image Processing
... digital image has been used for efficient and advanced way for classifying and intelligent retrieval of medical ...class using K-Means Algorithm. 2564 data sets related to brain and heart is ... See full document
5
Comparative Study of Artificial Neural Networks and Convolutional Neural Network for Crop Disease Detection
... and classification in crops. The crop disease detection and classification will be done using image processing techniques of image segmentation, feature extraction, feature ... See full document
5
A framework for medical image classification using soft set
... different classification methods that are general in nature that can be applied to assortment of ...which classification method might be suitable for a specific study is not easy to ...However, ... See full document
9
A smoke image segmentation algorithm based on rough set and region growing
... Fires seriously threaten the safety of human life and property, and the occurrence of fires is detected in a timely and accurate manner, it can provide valu- able time for fire fighting and evacuation, and it re- duces ... See full document
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