Search Results - (( java implementation mining algorithm ) OR ( parameter educational approach algorithm ))
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Scalable approach for mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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Mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Automated Model Generation Approach Using MATLAB
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Book Section -
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Optimization of balanced academic curriculum problem in educational institutions using teaching learning based optimization algorithm
Published 2025“…Future research could focus on enhancing TLBO through hybridization with other algorithms and applying it to real-world BACP scenarios in educational institutions.…”
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A combinatorial optimization technique using genetic algorithm :a case study in machine layout problem
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Final Year Project Report / IMRAD -
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Using scatter search algorithm in implementing examination timetabling problem
Published 2023“…The study investigates the most suitable parameters of Scatter Search algorithm for the population based algorithm. …”
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RAED: Response Analysis of Educational Data for leveraging knowledge dissemination system
Published 2015“…There has been tremendous approach from every corner of the society including government agencies in every country to implement certain global standards of the educational system, which is going to be completely online. …”
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Proceeding Paper -
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RAED: Response analysis of educational data for leveraging knowledge dissemination system
Published 2015“…There has been tremendous approach from every corner of the society including government agencies in every country to implement certain global standards of the educational system, which is going to be completely online. …”
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Proceeding Paper -
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Stock price prediction using machine learning: evidence from Pakistan stock exchange
Published 2024“…The study also includes back testing and hyper-parameter tuning to improve the model's performance. …”
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Conference or Workshop Item -
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Estimation of Examinees' Ability Through Computer Adaptive Testing Based on Neural Network Approach
Published 2010“…Statistical approaches such as maximum likelihood estimation method and Bayesian approach are used for this purpose. …”
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Thesis -
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Predicting noise-induced hearing loss (NIHL) in TNB workers using GDAM algorithm
Published 2012“…This research proposed an algorithm for improving the current working performance of Back-propagation algorithm by adaptively changing the momentum value and at the same time keeping the ‘gain’ parameter fixed for all nodes in the neural network. …”
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