Search Results - (evolution OR solution) mining techniques
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Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee
Published 2004“…This evolution provokes the emergence of data mining tools, which perform data analysis and extract data patterns. …”
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Analysis of traffic accidents using association rules mining technique / Abdullah Murshid Abdul Rahim
Published 2022“…Analysis of traffic accidents using data mining techniques is a project to identify the traffic accident pattern analysis using data mining techniques. …”
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A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution
Published 2018“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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Medical diagnosis using data mining techniques / Shaiful Nizam Zamri
Published 2003“…Medical Diagnosis Using Data Mining Techniques is a system in specifically facilitates the data mining techniques in predicting the appropriate drug prescription of certain condition of patients. …”
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Bioleaching and biosorption of heavy metals from gold mine tailings by Aspergillus fumigatus in Penjom, Malaysia
Published 2012“…The ability of A. fumigatus to remove As, Fe, Mn, Pb and Zn from synthetic solutions and from leachate derived from gold mine during bioleaching was assessed. …”
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Application of data mining on polynomial based approach for ECG biometric
Published 2011“…In this paper, the application of data mining techniques on polynomial based approach for better electrocardiogram (ECG) authentication mechanism is presented. …”
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Proceeding Paper -
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Global Trends of Educational Data Mining in Online Learning
Published 2023“…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…This technique reinforced the use of multiple classifiers in the model. …”
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…This technique reinforced the use of multiple classifiers in the model. …”
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Text mining in bioinformatics: past, present and future
Published 2012“…Dealing with this situation needs to deploy innovative methods and techniques. In this paper, we identify the current heavily used methods for biomedical text mining, their capabilities and developments, some proposed solution and how to evaluate performance. …”
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Uncovering Hidden Information Within R&D Department's Ticket Using Data Mining Clustering Approach
Published 2011“…In this study the data extracted is clustered using two different types of data mining techniques i.e. K-Means and Kohonen Network. …”
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A numerical method for frequent pattern mining
Published 2009“…Frequent pattern mining is one of the active research themes in data mining. …”
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Review of firewall optimization techniques
Published 2018“…Minimizing firewall rules by removing anomalies in the policy proven to be one of the solutions. Firewall performance can also be optimized using data mining technique and optimization based on traffic awareness. …”
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Accelerated mine blast algorithm for ANFIS training for solving classification problems
Published 2016“…Mine Blast Algorithm (MBA) is newly developed metaheuristic technique. …”
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…Many statistical and data mining techniques have been used to predict time series stock market. …”
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Predictive crime mapping model using association rule mining for crime analysis
Published 2014“…After training the data, the rules of relationship between attributes were generated. Here, the technique of association rule mining is being used. …”
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Intrusion detection system with data mining approach: a review
Published 2011“…Recently many researchers have focused on intrusion detection system based on data mining techniques as an efficient strategy. The main problem in intrusion detection system is accuracy to detect new attacks therefore unsupervised methods should be applied. …”
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Classification of Immunosignature Using Random Forests for Cancer Diagnosis
Published 2015“…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. The evolution of authoritative immunofingerprint mining technology is exerting a growing influence on comprehensive cancer diagnosis biology. …”
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Proceeding Paper -
20
Global trends of educational data mining in online learning
Published 2023“…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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