Suchergebnisse - Data mining–based evolutionary learning algorithm

Efficient and accurate image alignment using TSK-type neuro-fuzzy network with data-mining-based evolutionary learning algorithm von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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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