Search Results - (( java implementation mining algorithm ) OR ( using interface modified 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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Conference or Workshop Item -
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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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Conference or Workshop Item -
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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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Evaluation of structured questions using modified BLEU algorithm
Published 2016“…This paper describes and exemplifies an application of a Structured Exam Questions Test Bank and Evaluation Using Modified Bilingual Evaluation Understudy (BLEU) Algorithm, a software system developed in pursuit of robust computerized marking of free-text answers to open-ended questions.It employs the Information System Development Research Methodology with modified BLEU Algorithm and Expert System for similar words.The system was developed to facilitate in managing and administrating structured questions for client/server architecture based on intranet. …”
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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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A matlab-based graphical user interface (GUI) to predict the food quality during frying process
Published 2022“…The Arrhenius equation is used in this model. Then, the sum squared error (SSE) of modified model was compared with the SSE of existing model. …”
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A modification of Shamir's Three-Pass protocol by implementing one-time pad algorithm / Nur Khairunnisa' Kusman, Nurul Hanis Abd Rashid and An Nur Ameera Zamani
Published 2019“…The objectives of this study are to modified Shamir's three-pass protocol by implementing one¬ time pad protocol and to develop Graphical User Interface (GUI) by using Maple software. …”
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Student Project -
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Wastewater treatment process: a modified model for oxidation pond
Published 2021“…The model has been solved numerically by using the 4th order Runge-Kutta method and a parameter fitting technique namely Nelder-Mead simplex algorithm embedded in MATLAB software. …”
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Satellite attitude tracking control using thrusters and momentum wheels
Published 2018“…MATLAB software package is used as a simulation environment to develop and test the performance of the proposed tracking control algorithms using a Graphical User Interface (GUI) tool that can be expanded for future development.…”
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Proceeding Paper -
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Satellite attitude tracking control using Lyapunov control theory
Published 2019“…MATLAB software package is used as a simulation environment to develop and test the performance of the proposed tracking control algorithms using a Graphical User Interface (GUI) tool that can be expanded for future development.…”
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Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion
Published 2017“…In this hybrid algorithm, convolutional neural network is modified for the extraction of features, a t-test is used for the selection of significant features and likelihood ratio-based score fusion is used for the prediction of brain activity. …”
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