Search Results - (( _ predicting mining algorithm ) OR ( java simulation optimization algorithm ))
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1
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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Thesis -
2
A web usage mining approach based on LCS algorithm in online predicting recommendation systems
Published 2008“…To provide online prediction efficiently, we advance an architecture for online predicting in Web Usage Mining system and propose a novel approach based on LCS algorithm for classifying user navigation patterns for predicting users' future requests. …”
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Article -
3
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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4
Data mining techniques for transformer failure prediction model: A systematic literature review
Published 2023“…Classification (of information); Forecasting; Industrial electronics; Outages; Power transformers; Preventive maintenance; Classification algorithm; Data mining algorithm; Maintenance strategies; Performance measurements; Prediction techniques; Predictive maintenance; Systematic literature review; Transformer failure; Data mining…”
Conference Paper -
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Data mining techniques for disease risk prediction model: A systematic literature review
Published 2023“…Decision making; Decision trees; Forecasting; Health care; Soft computing; Accuracy evaluation; Classification technique; Data mining algorithm; Descriptive analysis; Disease risks; Infectious disease; Risk prediction models; Systematic literature review; Data mining…”
Conference Paper -
6
A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining
Published 2009“…Recently, a variety of the recommendation systems to predict user future movements through web usage mining have been proposed. …”
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Thesis -
7
Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for predicting Obstructive Sleep Apnea
Published 2017“…Better predictive accuracies were achieved in all the applied datasets/databases when comparing the classical algorithm, i.e. …”
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8
Evaluation of data mining models for predicting concrete strength
Published 2024“…The efficiency and accuracy of concrete strength prediction can be improved by using data mining techniques. …”
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Final Year Project / Dissertation / Thesis -
9
Comparison of Statistic Prediction Results in Weka Explorer Interface and Experimenter Environment Interface on Dataset
Published 2019“…Study confirm is to categorize data and help users mining useful data and easily identify an appropriate algorithm for an accurate predictive model, to access the best-performing algorithms, minimize errors and minimum time to build models through the Explorer interface and Experimental Environment Interface to get accurate.…”
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10
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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11
Cancer Prediction Based On Data Mining Using Decision Tree Algorithm
Published 2022“…Many studies have been conducted in order to predict cancer. Different data mining method has showed up with its related algorithms were adopted by different research. …”
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Undergraduates Project Papers -
12
A multi-layer dimension reduction algorithm for text mining of news in forex / Arman Khadjeh Nassirtoussi
Published 2015“…Every context requires its own customized text mining algorithms in order to achieve best results. …”
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13
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
14
A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.
Published 2009“…In this paper, to provide online predicting effectively, we develop a model for online predicting through web usage mining system and propose a novel approach for classifying user navigation patterns to predict users’ future intentions. …”
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15
Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob
Published 2014“…Besides that, Genetic Algorithm is applying to predict future sales based on the sales and product data. …”
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16
WebPUM : a web-based recommendation system to predict user future movements.
Published 2010“…Recently, a variety of recommendation systems to predict user future movements through Web usage mining have been proposed. …”
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17
Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu
Published 2014“…The success evaluation of data mining classification algorithms have been realized through the data mining programs Weka and RapidMiner. …”
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18
Identifying significant features and data mining techniques in predicting cardiovascular disease / Mohammad Shafenoor Amin
Published 2018“…This research predicts the cardiovascular disease using the identified significant features and data mining techniques. …”
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19
Comparing the performance of FCBF, Chi-Square and relief-F filter feature selection algorithms in educational data mining
Published 2019“…Educational Data Mining (EDM) is a very vital area of Data Mining, and it is helpful in predicting the performance of students. …”
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Comparing the performance of FCBF, Chi-Square and relief-F filter feature selection algorithms in educational data mining
Published 2019“…Educational Data Mining (EDM) is a very vital area of Data Mining, and it is helpful in predicting the performance of students. …”
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