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1
Improved Boosted Decision Tree Algorithms by Adaptive Apriori and Post-Pruning for Predicting Obstructive Sleep Apnea
Published 2018“…The improved version of Boosted Decision Tree algorithm, named as Boosted Adaptive Apriori post-Pruned Decision Tree (Boosted AApoP-DT), was developed by referring to Adaptive Apriori (AA) properties and by using post-pruning technique. …”
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2
Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for predicting Obstructive Sleep Apnea
Published 2017“…An improved Boosting algorithm, named as Boosted PARM-DT, was developed by pre-pruning techniques and Associative Rule Mining (ARM) on decision trees built from the clinical datasets** collected for Obstructive Sleep Apnea (OSA). …”
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3
Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea
Published 2018“…This research develops a knowledge-based system by using computational intelligent approaches based on Boosting algorithms on decision trees augmented by pruning techniques and Association Rule Mining. …”
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4
An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Various classification algorithms have been developed to produce classification models with high accuracy. …”
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5
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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6
An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…Recently, a number of density-based algorithms have been developed for clustering data streams. …”
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7
Robotic path planning using rapidly-exploring random trees
Published 2013“…A Graphical User Interface (GUI) has also been developed to demonstrate the RRTs technique in planning a path for an autonomous robot. …”
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8
New Structural Evolving Algorithms For Fuzzy Systems
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9
Using rule-based technique in developing the tool for finding suitable software methodology
Published 2007“…RETE algorithm has been chosen as the problem solving technique in managing the rules. …”
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10
An association rule mining approach in predicting flood areas
Published 2017“…Consequently, by using the Apriori algorithm, it generated the 10 best rules with 100% confidence level and 40% minimum support after the candidate generation and pruning technique. …”
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11
Application of minimax algorithm in dots and boxes game
Published 2025“…This was enhanced with several optimization techniques, including Alpha-Beta pruning, transposition tables, killer move heuristics, and quiescence search. …”
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Final Year Project / Dissertation / Thesis -
12
Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…On the other hand, network compression and acceleration techniques such as pruning and quantization also been the focus of the studies for light-weight algorithms in embedded system. …”
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13
An Association Rule Mining Approach in Predicting Flood Areas
Published 2016“…Consequently, by using the Apriori algorithm, it generated the 10 best rules with 100% confidence level and 40% minimum support after the candidate generation and pruning technique. …”
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Book Section -
14
Prime-based method for interactive mining of frequent patterns
Published 2010“…Moreover, the PC-miner reduces the number of candidate patterns and comparisons by using several pruning techniques. A comprehensive experimental analysis is conducted by several experiments and scenarios to evaluate the correctness and effectiveness of the proposed method especially for interactive mining. …”
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15
A test case generation framework based on UML statechart diagram
Published 2018“…Furthermore, the algorithms used for test case generation are not provided or well described. …”
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16
A quality of experience approach in smartphone video selection framework for energy efficiency
Published 2021“…DVAP is handling a set of rule in the Rule Post-Pruning (RPP) method to remove an unused node in list tree of VCS. …”
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17
Skyline queries on data with uncertain dimensions for efficient computation
Published 2018“…The performance of SkyQUD-T is studied against two naïve algorithms that are developed to reflect the best-case and worst-case scenarios. …”
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Thesis