Search Results - (( java application mining algorithm ) OR ( based classification add algorithm ))
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Direct approach for mining association rules from structured XML data
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Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali
Published 2015“…The new method, named as Adaptive K-means, is developed based on clustering approach. This method adds separation and inverse processes to the algorithm in order to produce the best segmented images. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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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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Development of fuzzy rule-based parameters for urban object-oriented classification using very high resolution imagery
Published 2014“…Object-oriented classification was performed using supervised SVM and fuzzy rule-based approach to add spatial and texture attributes to spectral information. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Security alert framework using dynamic tweet-based features for phishing detection on twitter
Published 2019“…This model is then embedded into the detection algorithm together with the inclusion of dynamic tweet-based features which are not as part of the features used to train a classification model for phishing tweet detection. …”
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Thesis -
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul‘Aini Hambali
Published 2016“…Therefore, this research has developed three improved methods which are able to segment images acquired in natural environment satisfactorily.The first method is an improved thresholding-based segmentation (TsN), which adds algorithms of inverse process and adjustment on threshold value. …”
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Book Section -
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Assessment of cognitive load using multimedia learning and resting states with deep learning perspective
Published 2019Get full text
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Conference or Workshop Item -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Thesis -
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Segmentation Assisted Object Distinction For Direct Volume Rendering
Published 2013“…A set of image processing techniques are creatively employed in the design of K-means based hybrid segmentation algorithm.…”
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Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification
Published 2019“…The GA-based approach is used to optimize the various features obtained. …”
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