Search Results - intelligent event ((tree algorithm) OR (bees algorithm))
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1
Test Data Generation for Event Driven System Using Bees Algorithm
Published 2013“…In this paper we discuss and proposed a new strategy for generating test data for event-driven system using a bio inspired artificial intelligent, namely Bees Algorithm (BA). …”
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2
Knowledge discovery in distance relay event report: a comparative data-mining strategy of rough set theory with decision tree
Published 2010“…This paper addresses these issues by intelligently divulging the knowledge hidden in the relay recorded event report using a data-mining strategy based on rough set theory and a rule-quality measure under supervised learning to discover the relay decision algorithm and association rule. …”
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3
Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure
Published 2011“…The high prediction accuracy rate and the close-to-unity area under curve (AUC) value of ROC curve of the discovered relay decision algorithm (prediction rules) from the Rough-Set-Theory-and-Genetic-Algorithm data mining verified the algorithm’s generalized ability to predict as well as discriminate future unknown-trip-status relay events. …”
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4
Framework for mining XML format business process log data
Published 2024“…The effectiveness of the methods and framework was assessed by applying them to both simulation datasets and real-life event logs, namely the Business Process Intelligence Challenge (BPIC). …”
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5
Artificial Intelligence (AI) to predict dental student academic performance based on pre-university results
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6
An efficient and effective case classification method based on slicing
Published 2006“…The algorithms are: Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5). …”
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7
Evaluation of fall detection classification approaches
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8
Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line
Published 2020“…The Random Tree standalone ML-AP relay model presented the best performing models from the ML-APS relay model with the best average performance for the correctly classified fault types of 97.61 % at 5 % significance level above other ML algorithms. …”
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Thesis
