Search Results - (( java implication based algorithm ) OR ( time validation mining algorithm ))
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DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
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Final Year Project -
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Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer
Published 2017“…Furthermore, the Lazy-IBK algorithm have been validated to produce the best classifier model, with the machine learning algorithm performance of 65.26%, recall of 65.3%, and 65.4% F-measured as compared to other evaluated machine learning classifier algorithms proposed within the WEKA data mining algorithm. …”
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Thesis -
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Data Mining Analysis Of Chronic Kidney Disease (CKD) Level
Published 2022“…Adding the uncertain class the best accuracy obtained was 98.5% using the SMO algorithm. A predictive classification model that determines the accuracy for three classification classes was developed accordingly using the SMO algorithm.…”
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Monograph -
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AN AGENT-BASED DOCUMENT CLASSIFICATION MODEL TO IMPROVE THE EFFICIENCY OF THE AUTOMATED SYSTEMATIC REVIEW PROCESS
Published 2023“…Result shows that the required processing time was reduced by 33.5% using four agents to achieve the mining process. …”
Review -
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Machine Learning Regression Approach for Estimating Energy Consumption of Appliances in Smart Home
Published 2024“…The time-series datasets, namely appliance energy prediction datasets, are used for training and testing the algorithms. …”
Conference Paper -
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Dominance analyses reduction in skyline query processing over data stream with data mining technique
Published 2025“…DAR employs the Apriori algorithm, one of the most prevalent data mining algorithms, to identify the frequently occurring dominance analyses. …”
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Conference or Workshop Item -
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Modeling and simulation of the industrial numerical distance relay aimed at knowledge discovery in resident event reporting
Published 2014“…This is justified by the practicality and necessity of divulging the decision algorithm hidden in the recorded relay event report using computational intelligence-based data mining. …”
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Article -
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Hybridised Network of Fuzzy Logic and a Genetic Algorithm in Solving 3-Satisfiability Hopfield Neural Networks
Published 2023“…The suggested network’s performance was trained and validated using Matlab 2020b. The hybrid techniques significantly obtain better results in terms of error analysis, efficiency evaluation, energy analysis, similarity index, and computational time. …”
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Article -
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Data mining in mobile ECG based biometric identification
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Article -
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An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis
Published 2016“…However, frequent pattern mining (FPM) using Apriori-like algorithms and support-confidence framework suffers from the myth of rare item problem in nature. …”
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Thesis -
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A log file analysis technique using binary-based approach
Published 2014“…To validate the approach, performance comparison was also done against the popular Apriori algorithm. …”
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Article -
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Enhanced mechanism to handle missing data of Hadith classifier
Published 2011“…In contrast to C4.5 algorithm, the time complexity to build classifier remained as it is 0.02 seconds. …”
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Proceeding Paper -
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A Data Mining Approach to Enhancing Birth and Death Registration Processes
Published 2025“…Accurate and timely birth and death registration is crucial for effective policymaking and public service delivery. …”
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Thesis -
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Seed disperser ant algorithm for optimization / Chang Wen Liang
Published 2018“…Also, data clustering has become popular in data mining in recent time due to data explosion. In this research, we applied SDAA to solve the constrained engineering problems and introduce an efficient data clustering algorithm which is hybrid of K-means and SDAA. …”
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Thesis -
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Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Published 2019“…In addition, experiments prove that the enhanced algorithm shows a higher performance through lower false positive, higher accuracy, and better CPU time.…”
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Thesis -
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Enhanced dimensionality reduction methods for classifying malaria vector dataset using decision tree
Published 2021“…Lots of work in recent time are focused on reducing the dimension of RNA-Seq data. …”
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Article -
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