Výsledky vyhledávání - data mining―based (evolutionary OR evolution) learning algorithm*

Epi-GTBN: an approach of epistasis mining based on genetic Tabu algorithm and Bayesian network Autor Guo, Yang, Zhong, Zhiman, Yang, Chen, Hu, Jiangfeng, Jiang, Yaling, Liang, Zizhen, Gao, Hui, Liu, Jianxiao

“… However, this method has two disadvantages: low learning efficiency and easy to fall into local optimum…”
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Data mining–based hierarchical cooperative coevolutionary algorithm for TSK-type neuro-fuzzy networks design Autor 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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DRMM: A novel data mining-based emotion transfer detecting method for emotion prediction of social media Autor Shi, Wei, Xue, Guangcong, Yin, Xicheng, He, Shaoyi, Wang, Hongwei

“… At present, most of the existing methods use econometric model and machine learning algorithm to predict the trend of online public opinion…”
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Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm Autor Wu, Yanhong

“… This study provides a genetic algorithm-based optimization framework for learning paths that simulates selection, crossover, and mutation operations in biological evolution…”
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Efficient and accurate image alignment using TSK-type neuro-fuzzy network with data-mining-based evolutionary learning algorithm Autor 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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Financial Time Series Forecasting: A Data Stream Mining-Based System Autor Bousbaa, Zineb, Sanchez-Medina, Javier, Bencharef, Omar

“… Within historical data, we can notice long-term, seasonal, and irregular trends. All these changes make traditional static machine learning models not relevant to those study cases…”
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Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data Autor 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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Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers Autor 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 Autor 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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A self-organization mining based hybrid evolution learning for TSK-type fuzzy model design Autor Lin, Sheng-Fuu, Chang, Jyun-Wei, Hsu, Yung-Chi

“…In this paper, a self-organization mining based hybrid evolution (SOME) learning algorithm for designing a TSK-type fuzzy model (TFM) is proposed…”
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Advances in statistical quality control chart techniques and their limitations to cement industry Autor Tegegne, Daniel Ashagrie, Kitaw, Daniel, Berhan, Eshetie

“… The objective of this paper is to survey the approach and evolution of statistical process control chart techniques and study their significance and limitations in the case of optimization of cement production…”
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Evolutionary computing for clinical dataset classification using a novel feature selection algorithm Autor 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 Autor 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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SemiSupervised Learning for Class Association Rule Mining Using Genetic Network Programming Autor 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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Towards an open university based on machine learning for the teaching service support system using backpropagation neural networks Autor Wang, Jianjun

“…The combination of information technology and machine learning fuels the rapid evolution of today's educational landscape…”
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On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis Autor Rodríguez, José‐Víctor, Rodríguez‐Rodríguez, Ignacio, Woo, Wai Lok

“… of increasingly huge volumes of data. In order to process this vast quantity of information, artificial intelligence (AI…”
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Toward Safer Flight Training: The Data-Driven Modeling of Accident Risk Network Using Text Mining Based on Deep Learning Autor Zhuang, Zibo, Hou, Yongkang, Yang, Lei, Gong, Jingwei, Wang, Lei

“… To mine the risk factors and dynamic evolution characteristics affecting flight safety, a data-driven network modeling methodology that integrates text mining with domain knowledge in accident…”
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Development of an evolutionary fuzzy expert system for estimating future behavior of stock price Autor 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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Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm Autor Xuan-Nam Bui, Hoang Nguyen, Yosoon Choi, T. Nguyen-Thoi, Jian Zhou, Jie Dou

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Transcriptional analysis of adipose tissue during development reveals depot-specific responsiveness to maternal dietary supplementation Autor Fainberg, Hernan P., Birtwistle, Mark, Alagal, Reham, Alhaddad, Ahmad, Pope, Mark, Davies, Graeme, Woods, Rachel, Castellanos, Marcos, May, Sean T., Ortori, Catharine A., Barrett, David A., Perry, Viv, Wiens, Frank, Stahl, Bernd, van der Beek, Eline, Sacks, Harold, Budge, Helen, Symonds, Michael E.

“… We, therefore, conducted a data mining based study on the major fat depots (i.e. epicardial, perirenal, sternal…”
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