Search Results - (( evolution application need algorithm ) OR ( java implementation mining 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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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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An improved component carrier selection algorithm for downlink long term evolution advanced
Published 2014“…Additionally, LTE-A system needs to simultaneously support a mixture of LTE-A and Long Term Evolution (LTE) users. …”
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Proceeding Paper -
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Novel scheduling algorithm for optimizing real-time multimedia performance in Long-Term Evolution Advanced
Published 2017“…Given that Long Term Evolution-Advanced (LTE-A) which is an emerging mobile cellular standard needs to support these multimedia applications, packet scheduling is of paramount importance in LTE-A. …”
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Differential evolution for neural networks learning enhancement
Published 2008“…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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An adaptive fuzzy handover triggering approach for Long-Term Evolution network
Published 2016“…There are studies on non-conventional handoff algorithms for LTE applications, for instance, the fuzzy logic approach. …”
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Optimization of handover algorithms in 3GPP long term evolution system
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Proceeding Paper -
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Optimized differential evolution algorithm for linear frequency modulation radar signal denoising
Published 2013“…The main contention of this thesis is to investigate the development of new optimization technique based on Differential Evolution algorithm (DE), applied for radar signal denoising application. …”
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Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution
Published 2014“…The need for a high fidelity model for design,analysis and implementation of an unmanned helicopter system(UHS) in various emerging civil applications cannot be underestimated. …”
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Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff
Published 2017“…Thus, it can be concluded that QEEA algorithm is the most energy efficient and the best candidate for provisioning the QoS for the real time (RT) and non-real time (NRT) applications.…”
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Nature-Inspired cognitive evolution to play Ms. Pac-Man
Published 2011“…Recent developments in nature-inspired computation have heightened the need for research into the three main areas of scientific, engineering and industrial applications. …”
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