Search Results - (( software classification bayes algorithm ) OR ( java application based algorithm ))
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…Studies have shown how user perception can have a strong influence on policies and decision-making processes in a place, society, and nation. This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Enhancing Classification Algorithms with Metaheuristic Technique
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Classification Algorithms to Determine Students’ Specialization in a Higher Education Institution
Published 2023“…After that, we looked at how Python programming classification algorithms like Support Vector Machine (SVM), Naïve Bayes, Random Forest, and Decision Tree performed in classifying the areas of specialization of the students. …”
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PREDICTION OF HFMD DISEASE OUTBREAK FROM TWITTER
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Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks
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Android Mobile Malware Classification Based on System Call and Permission Using Tokenization
Published 2024thesis::master thesis -
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Pixel-based feature for android malware family classification using machine learning algorithms
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Anomaly-based intrusion detection through K-Means clustering and Naives Bayes classification
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A New Model For Network-Based Intrusion Prevention System Inspired By Apoptosis
Published 2024thesis::doctoral thesis -
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Making programmer effective for software development teams: An extended study
Published 2017“…The fast growing demand of software has caused numerous challenges for software developers to produces quality software within deadlines. …”
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A review on classifying and prioritizing user review-based software requirements
Published 2024“…Furthermore, we identified Naive Bayes, SVM, and Neural Networks algorithms as dependable and suitable for requirement classification and prioritization tasks. …”
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A direct ensemble classifier for imbalanced multiclass learning
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Accuracy and performance analysis for classification algorithms based on biomedical datasets
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Texture-based feature using multi-blocks gray level co-occurrence matrix for ethnicity identification
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Feature selection based on particle swarm optimization algorithm for sentiment analysis classification
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