Search Results - (( java implementation mining algorithm ) OR ( distant learning processes algorithm ))
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1
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 -
2
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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3
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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4
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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5
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 -
6
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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7
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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8
Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches
Published 2024“…Statistical models and machine learning algorithms automatically learn and improve based on data. …”
Review -
9
Estimating the un-sampled ph value via neighbouring points using multi-layer neural network - genetic algorithm
Published 2023“…GA optimizer is used in MLNN-GA where the result of each learning weight will be the initial weight of the next learning process. …”
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10
Hyperspectral anomaly detection leveraging spatial attention and right-shifted spectral energy
Published 2025“…The K-nearest neighbor (KNN) algorithm facilitates the creation of edges between pixels, enabling the incorporation of distant pixels and improving resilience to noise and local irregularities. …”
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11
Speech emotion recognition using spectrogram based neural structured learning
Published 2022“…As a result, rather than processing data and making judgments from far distant data sources, the decision-making could be made closer to where the data lives. …”
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12
Add-on anomaly threshold technique for improving unsupervised intrusion detection on SCADA data
Published 2020“…The observations whose anomaly scores are significantly distant from â��abnormalâ�� ones will be assumed as â��normalâ��. …”
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