Search Results - (( java implementation cell algorithm ) OR ( using systematic mining algorithm ))
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Multi-objective Binary Clonal Selection Algorithm In The Retrieval Phase Of Discrete Hopfield Neural Network With Weighted Systematic Satisfiability
Published 2024“…The newly proposed logical rule and the algorithm will be the components in the logic mining model namely Weighted Systematic 2 Satisfiability Modified Reverse Analysis. …”
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Data mining techniques for transformer failure prediction model: A systematic literature review
Published 2023Conference Paper -
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Data mining techniques for disease risk prediction model: A systematic literature review
Published 2023Conference Paper -
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Educational Data Mining for Student Performance Prediction : A Systematic Literature Review (2015-2021)
Published 2022“…—This systematic literature review aims to identify the recent research trend, most studied factors, and methods used to predict student academic performance from 2015 to 2021. …”
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Prime-based method for interactive mining of frequent patterns
Published 2010“…Moreover, this study introduces a mining algorithm called PC-miner to mine the mining model frequently with various values of minsup. …”
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A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks
Published 2025“…This includes the lack of transparency in using data mining tools and artificial intelligence. …”
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Evaluation and optimization of frequent association rule based classification
Published 2014“…In this paper, a systematic way to evaluate the association rules discovered from frequent itemset mining algorithms, combining common data mining and statistical interestingness measures, and outline an appropriated sequence of usage is presented. …”
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Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…The developed logic mining will be used to analyze the Alzheimer's Disease Neuroimaging Initiative dataset.…”
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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. …”
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A Recent Research on Malware Detection Using Machine Learning Algorithm: Current Challenges and Future Works
Published 2023Conference Paper -
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Evaluation and optimization of frequent, closed and maximal association rule based classification
Published 2014“…Real world applications of association rule mining have well-known problems of discovering a large number of rules, many of which are not interesting or useful for the application at hand.The algorithms for closed and maximal item sets mining significantly reduce the volume of rules discovered and complexity associated with the task, but the implications of their use and important differences with respect to the generalization power, precision and recall when used in the classification problem have not been examined.In this paper, we present a systematic evaluation of the association rules discovered from frequent, closed and maximal item set mining algorithms, combining common data mining and statistical interestingness measures, and outline an appropriate sequence of usage.The experiments are performed using a number of real-world datasets that represent diverse characteristics of data/items, and detailed evaluation of rule sets is provided as a whole and w.r.t individual classes. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
“…Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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