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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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Attitude Control System for InnoSAT
Published 2009“…To develop attitude control algorithms software; ACS is the part of the ADCS payload. …”
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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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Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…The algorithms are ACS(GA), ACS+GA, ACS(TS), and ACS+TS. …”
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Development of low power viterbi decoder on complex programmable logic device platform
Published 2018“…This thesis thus proposes suitable methods to reduce power consumption in Viterbi decoder by enhancing the ACS and PMU module. For ACS, the traditional method of Viterbi algorithm is to add the previous state metric with the current branch metric, compare the new branch metric and select the minimum branch metric. …”
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Modelling and simulation of hysteresis control algorithm for use in single phase ac-to-ac matrix converter / Seri Iryani Mohd Noor
Published 2003“…This thesis is illustrated by developing computer simulation models of ac-to-ac single phase matrix converter (SPMC) using sinusoidal pulse width modulation (SPWM) technique and another algorithm i.e hysteresis control technique. …”
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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
Published 2007“…Their ability as a colony to find paths or routes to the food sources has inspired the development of an algorithm namely Ant Colony System (ACS). …”
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A Modified Approach For Load Flow Analysis Of Integrated AC-DC Power Systems
Published 2000“…An algorithm has been developed to solve the HVDC link power system loadflow and the algorithm has been tested on the IEEE test system …”
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Article -
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Embedding Malaysian House Red Ant Behavior into an Ant Colony System
Published 2008“…This research aims to improve the algorithm by embedding individual Malaysian House Red Ant behavior into ACS. …”
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Citation Index Journal -
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Sizing algorithm for stand-alone AC coupled Hybrid PV-diesel power system under Malaysian climate / Nor Syafiqah Syahirah Mohamed
Published 2016“…The performance indices are used part of the proposed algorithm as a predictive analytical tool for algorithm development. …”
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Neural Networks based fault diagnosis of ac motors
Published 2008“…This paper presents an Artificial Neural Network (ANN) technique to recognize the incipient faults of an AC motor such as a synchronous motor. The proposed ANN-based fault detector is developed using the Resilient Error Back Propagation (RPROP) training algorithm. …”
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