Search Results - (( effective classification approach algorithm ) OR ( java implication based algorithm ))
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1
Hybrid ACO and SVM algorithm for pattern classification
Published 2013“…Support Vector Machine (SVM) is a pattern classification approach originated from statistical approaches. …”
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2
An improve unsupervised discretization using optimization algorithms for classification problems
Published 2024“…The classification performance using EB outperforms other existing approaches for all datasets.…”
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An improve unsupervised discretization using optimization algorithms for classification problems
Published 2024“…The classification performance using EB outperforms other existing approaches for all datasets.…”
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A derivative-free optimization method for solving classification problem
Published 2010“…Results of numerical experiments had been presented which demonstrate the effectiveness of the proposed algorithm. Conclusion: In this study we had studied a derivative-free optimization approach to the classification. …”
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Loan Eligibility Classification Using Machine Learning Approach
Published 2023“…The performance of the models was compared to identify the most effective algorithm for loan eligibility classification. …”
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Undergraduates Project Papers -
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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…Among numerous artificial intelligence approaches, k-Nearest Neighbor algorithms, genetic algorithms, and artificial neural networks are considered as the most common and effective methods in classification problems in numerous studies. …”
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Enhanced ontology-based text classification algorithm for structurally organized documents
Published 2015“…As a result such representations generate high dimensionality which gives a negative effect on the classification performance. The objectives of this thesis are to formulate algorithms for classifying text by creating suitable feature vector and reducing the dimension of data which will enhance the classification accuracy. …”
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An internet of things based for smart recycle waste classification / Akmal Md Nasir
Published 2023“…With a high accuracy rate for waste classification, the ResNet algorithm proved to be effective. …”
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Classification of Google Play application using decision tree algorithm on sentiment analysis of text reviews / Aqil Khairy Hamsani, Ummu Fatihah Mohd Bahrin and Wan Dorishah Wan A...
Published 2023“…The project's objectives are to study the classifying approach of Google Play Store application reviews using the Decision Tree algorithm, develop a prototype of a classifying application program, and evaluate the accuracy model of the review classification program. …”
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Knowledge base processing method based on text classification algorithm
Published 2023“…This paper proposes a knowledge base method to establish a feature model related to domain speciality and combine it with traditional text classification algorithm, so as to optimize the training and reasoning process of the classification model and improve the accuracy of classification effect. …”
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Conference or Workshop Item -
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Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…Meanwhile, the DT classification using the LS approach produced the highest overall accuracy of 87% and a kappa coefficient of 0.80. …”
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A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification
Published 2010“…In this paper, a two-stage pattern classification and rule extraction system is proposed. …”
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Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks
Published 2025“…Key contributions include a comparative analysis of evolutionary, swarm intelligence, physics-based, human-inspired algorithms, and hybrid approaches benchmarked on classification datasets. …”
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Modified word representation vector based scalar weight for contextual text classification
Published 2024“…This experiment aims to determine the effectiveness of the modified word vectors in contextual text classification tasks, utilizing a more computationally efficient approach. …”
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Machine learning-based leukemia classification using gene expression for accurate diagnosis
Published 2025“…The proposed techniques is then compared with the existing approaches using the same dataset. It is observed that the proposed model for leukemia classification has an accuracy of 97% using SVM algorithm whereas 94% is using Logistic regression algorithm.…”
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Proceeding Paper -
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A Novel Wrapper-Based Optimization Algorithm for the Feature Selection and Classification
Published 2023“…The simulation results on the benchmark medical datasets revealed that the proposed SCSO-KNN approach has outperformed comparative algorithms with an average classification accuracy of 93.96 by selecting 14.2 features within 1.91 s. …”
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Gas Identi cation by Using a Cluster-k-Nearest-Neighbor
Published 2009“…We find 98.7% of accuracy in the classification of 6 different types of Gas by using K-means cluster algorithm and we find almost the same by using the new clustering algorithm.…”
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Loan eligibility classification using logistic regression
Published 2023“…The performance of the models was compared to identify the most effective algorithm for loan eligibility classification. …”
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Feature selection based on particle swarm optimization algorithm for sentiment analysis classification
Published 2021“…The experimental results showed that the proposed approach has a significant effect on sentiment score and polarity detection.…”
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