Search Results - Data mining–based evolutionary learning algorithm

Efficient and accurate image alignment using TSK-type neuro-fuzzy network with data-mining-based evolutionary learning algorithm by Hsu, Chi-Yao, Cheng, Yi-Chang, Lin, Sheng-Fuu

“… In this study, a Takagi-Sugeno-Kang-type neuro-fuzzy network (NFN) with data-mining-based evolutionary learning algorithm (DMELA) is proposed…”
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Data mining–based hierarchical cooperative coevolutionary algorithm for TSK-type neuro-fuzzy networks design by Hsu, Chi-Yao, Lin, Sheng-Fuu, Chang, Jyun-Wei

“…This study proposes a data mining–based hierarchical cooperative coevolutionary algorithm (DMHCCA…”
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Fast and Accurate Terrain Image Classification for ASTER Remote Sensing by Data Stream Mining and Evolutionary-EAC Instance-Learning-Based Algorithm by Hu, Shimin, Fong, Simon, Yang, Lili, Yang, Shuang-Hua, Dey, Nilanjan, Millham, Richard C., Fiaidhi, Jinan

“… Traditional data mining requires all the data to be available prior to inducing a model by supervised learning, for automatic image recognition or classification…”
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Novel evolutionary-EAC instance-learning-based algorithm for fast data stream mining in assisted living with extreme connectivity by Hu, Shimin, Fong, Simon, Song, Wei, Cho, Kyungeun, Millham, Richard C., Fiaidhi, Jinan

“… Using extreme connectivity and cloud computing in a smart home, where a collection of sensors is installed, the sensors sample continuously from the movements of the resident as well as ambient data…”
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Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data by Garouani, Moncef, Ahmad, Adeel, Bouneffa, Mourad, Hamlich, Mohamed, Bourguin, Gregory, Lewandowski, Arnaud

“… In this context, Machine Learning (ML) is among the major predictive modeling approaches that can enable manufacturing researchers and practitioners to improve the product quality and achieve resource efficiency by exploiting large amounts of data…”
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An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach by Wong, M.L., Leung, K.S.

“… This paper proposes a novel data mining approach that employs an evolutionary algorithm to discover knowledge represented in Bayesian networks…”
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Classification rule mining based on Pareto-based Multiobjective Optimization by Sağ, Tahir, Kahramanlı Örnek, Humar

“… The process of rule extraction is a challenging classification task in data mining since it has several constraints and conflicting objectives such as accuracy and comprehensibility…”
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Evolutionary-EAC Instance-Learning-Based Predictive Algorithm for Fast Data Stream Mining by Hu, Shimin

“… with the real-time activity recognition. To this end, a novel streamlined sensor data processing method is proposed called Evolutionary Expand-and-Contract Instance-based Learning algorithm (EEAC-IBL) in my PhD study…”
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A multi-objective evolutionary algorithm-based soft computing model for educational data mining: A distance learning experience by Tan, Choo Jun, Lim, Ting Yee, Bong, Chin Wei, Liew, Teik Kooi

“…PurposeThe purpose of this paper is to propose a soft computing model based on multi-objective evolutionary algorithm (MOEA…”
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Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers by Hsu, Chi-Yao, Hsu, Yung-Chi, Lin, Sheng-Fuu

“…Reinforcement evolutionary learning using data mining algorithm (R-ELDMA) with a TSK-type fuzzy controller (TFC…”
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A hybrid ANN-based imperial competitive algorithm methodology for structural damage identification of slab-on-girder bridge using data mining by Gordan, Meisam, Razak, Hashim Abdul, Ismail, Zubaidah, Ghaedi, Khaled, Tan, Zhi Xin, Ghayeb, Haider Hamad

“… methodology using modal parameter data, which trained by means of a hybrid artificial neural network-based imperial competitive algorithm (ANN-ICA…”
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SemiSupervised Learning for Class Association Rule Mining Using Genetic Network Programming by Mabu, Shingo, Higuchi, Takuro, Kuremoto, Takashi

“… Therefore, this paper proposes a semisupervised learning method for rule extraction, where a small number of labeled data and a large number of unlabeled data are used to efficiently extract class association rules…”
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Evolutionary computing for clinical dataset classification using a novel feature selection algorithm by Pranali D. Sheth, Shrishailappa T. Patil, Manikrao L. Dhore

“…The medical diagnostic decision support system uses machine learning and data mining algorithms to detect and diagnose diseases…”
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A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems by Ramakurthi, Veera Babu, Manupati, V. K., Machado, José, Varela, Leonilde

“… An integrated classifier-assisted evolutionary multi-objective evolutionary approach is proposed for solving the objectives of makespan, energy consumption…”
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Development of an evolutionary fuzzy expert system for estimating future behavior of stock price by Mehmanpazir, Farhad, Asadi, Shahrokh

“… This paper presents a ''data mining-based evolutionary fuzzy expert system'' (DEFES) approach to estimate the behavior of stock price…”
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Network intrusion detection using fuzzy class association rule mining based on genetic network programming by Ci Chen, Mabu, S., Chuan Yue, Shimada, K., Hirasawa, K.

“…) for detecting network intrusions. GNP is an evolutionary optimization techniques, which uses directed graph structures as genes instead of strings (Genetic Algorithm) or trees (Genetic Programming…”
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MLP-TLBO: Combining Multi-Layer Perceptron Neural Network and Teaching-Learning-Based Optimization for Breast Cancer Detection by Cui, Yuzhen, Li, Xiaoqian, Wang, Yaoyao, Yuan, Weiqiang, Cheng, Xianwu, Samiei, Moslem

“… There are many approaches to breast cancer diagnosis. Classification of patients in terms of benign or malignant cancer using data mining techniques has attracted the attention of many researchers…”
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Using machine learning to mine mental health diagnostic groups from emergency department presentations before and during the COVID-19 pandemic by Hudson, Carly, Branjerdporn, Grace, Hughes, Ian, Todd, James, Bowman, Candice, Randall, Marcus, Stapelberg, Nicolas J. C.

“… Machine learning has been used to mine large volumes of unstructured data to extract meaningful data in relation to mental health presentations…”
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Network Intrusion Detection Using Class Association Rule Mining Based on Genetic Network Programming by Chen, Ci, Mabu, Shingo, Shimada, Kaoru, Hirasawa, Kotaro

“…) for detecting network intrusions. This approach can deal with both discrete and continuous attributes in network‐related data…”
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Research on Learners' Personality Mining Based on Improved Decision Tree Algorithm by Qiang Yang, Jianli Wang

“… In this paper we put forward a kind of data mining algorithm based on improved decision tree, and combined with the characteristics data of personalized learning, then we simple analyze…”
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