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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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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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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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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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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KEEL: a software tool to assess evolutionary algorithms for data mining problems von Alcalá-Fdez, J., Sánchez, L., García, S., del Jesus, M. J., Ventura, S., Garrell, J. M., Otero, J., Romero, C., Bacardit, J., Rivas, V. M., Fernández, J. C., Herrera, F.

“… This paper introduces a software tool named KEEL which is a software tool to assess evolutionary algorithms for Data Mining problems of various kinds including as regression, classification, unsupervised learning, etc …”
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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.

“… A machine learning-based framework, Mining Emergency …”
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A distributed evolutionary based instance selection algorithm for big data using Apache Spark von Qin, Liyang, Wang, Xiaoli, Yin, Linzi, Jiang, Zhaohui

“… In this paper, we proposed a novel evolutionary based instance selection algorithm for big data …”
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Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems von Drown, D.J., Khoshgoftaar, T.M., Seliya, N.

“… We present a novel genetic algorithm-based data sampling method, named evolutionary sampling, as a solution to improving software quality modeling for high-assurance systems …”
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Comparison of dragonfly algorithm and Harris hawks optimization evolutionary data mining techniques for the assessment of bearing capacity of footings over two-layer foundation soils von Moayedi, Hossein, Abdullahi, Mu’azu Mohammed, Nguyen, Hoang, Rashid, Ahmad Safuan A.

“… By assist of novel evolutionary science, the classification accuracy of neural computing is improved in analyzing the bearing capacity of footings over two-layer foundation soils …”
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Evolutionary and metaheuristics based data mining von del Jesús, María J., Gámez, José A., Puerta, José M.

“… [...]the use of evolutionary algorithms and metaheuristics in general to approach DM-based problems (EMBDM …”
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A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification von Onan, Aytuğ, Korukoğlu, Serdar, Bulut, Hasan

“… Ensemble learning can be employed to obtain more robust classification schemes. However, most approaches in the field incorporated feature engineering to build efficient sentiment classifiers …”
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Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) von Chen, Wei, Hong, Haoyuan, Panahi, Mahdi, Shahabi, Himan, Wang, Yi, Shirzadi, Ataollah, Pirasteh, Saied, Alesheikh, Ali Asghar, Khosravi, Khabat, Panahi, Somayeh, Rezaie, Fatemeh, Li, Shaojun, Jaafari, Abolfazl, Bui, Dieu Tien, Bin Ahmad, Baharin

“… ) at Anyuan County, China. It means that WOA and GWO are used as two meta-heuristic algorithms to improve the prediction performance of the ANFIS-based methods …”
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EIS-OBEA: Enhanced Image Steganalysis via Opposition-Based Evolutionary Algorithm von Ma, Yuanyuan, Xu, Lige, Zhang, Qianqian, Zhang, Yi, Xin, Xianwei, Luo, Xiangyang

“… is burdened consequently. To alleviate this predicament, this paper proposes an enhanced image steganalysis via opposition-based evolutionary algorithm (EIS-OBEA …”
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A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification von Onan, Aytuğ, Korukoğlu, Serdar, Bulut, Hasan

“… • A novel multi-objective differential evolution algorithm based classifier ensemble for text sentiment classification …”
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An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems von Faris, Hossam, Mafarja, Majdi M., Heidari, Ali Asghar, Aljarah, Ibrahim, Al-Zoubi, Ala’ M., Mirjalili, Seyedali, Fujita, Hamido

“… •Two wrapper feature selection approaches using Salp Swarm Algorithm are proposed …”
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Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data von Houssein, Essam H., Hosney, Mosa E., Mohamed, Waleed M., Ali, Abdelmgeid A., Younis, Eman M. G.

“… Feature selection (FS) is one of the basic data preprocessing steps in data mining and machine learning …”
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Evolutionary extreme learning machine based on an improved MOPSO algorithm von Ling, Qinghua, Tan, Kaimin, Wang, Yuyan, Li, Zexu, Liu, Wenkai

“… evolutionary algorithm, the proposed algorithm used MOPSO to optimize the input weights and hidden …”
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Sentiment Analysis of Customers' Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution von Obiedat, Ruba, Qaddoura, Raneem, Al-Zoubi, Ala' M., Al-Qaisi, Laila, Harfoushi, Osama, Alrefai, Mo'ath, Faris, Hossam

“… Online media has an increasing presence on the restaurants' activities through social media websites, coinciding with an increase in customers' reviews of …”
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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

“… ). Likewise, the hybrid ANN is optimized by a new optimization-based evolutionary algorithm, called ICA, to predict the severity and location of multiple damage cases obtained from experimental modal …”
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