Výsledky vyhledávání - data-mining based evolution learning algorithm

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  1. 1

    Data miningbased hierarchical cooperative coevolutionary algorithm for TSK-type neuro-fuzzy networks design Autor Hsu, Chi-Yao, Lin, Sheng-Fuu, Chang, Jyun-Wei

    ISSN: 0941-0643, 1433-3058
    Vydáno: London Springer London 01.08.2013
    Vydáno v Neural computing & applications (01.08.2013)
    “…This study proposes a data miningbased hierarchical cooperative coevolutionary algorithm (DMHCCA…”
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  2. 2

    A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification Autor Onan, Aytuğ, Korukoğlu, Serdar, Bulut, Hasan

    ISSN: 0957-4174, 1873-6793
    Vydáno: Elsevier Ltd 15.11.2016
    Vydáno v Expert systems with applications (15.11.2016)
    “…• A novel multi-objective differential evolution algorithm based classifier ensemble for text sentiment classification…”
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  3. 3

    Kids Learning Optimizer: social evolution and cognitive learning-based optimization algorithm Autor Javed, Sobia Tariq, Zafar, Kashif, Younas, Irfan

    ISSN: 0941-0643, 1433-3058
    Vydáno: London Springer London 01.10.2024
    Vydáno v Neural computing & applications (01.10.2024)
    “…This paper proposes a novel social cognitive learning-based metaheuristic called kids Learning Optimizer (KLO…”
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  4. 4

    Advancing educational data mining for enhanced student performance prediction: a fusion of feature selection algorithms and classification techniques with dynamic feature ensemble evolution Autor Malik, Saleem, Patro, S. Gopal Krishna, Mahanty, Chandrakanta, Hegde, Rashmi, Naveed, Quadri Noorulhasan, Lasisi, Ayodele, Buradi, Abdulrajak, Emma, Addisu Frinjo, Kraiem, Naoufel

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 13.03.2025
    Vydáno v Scientific reports (13.03.2025)
    “…The integration of technology into educational institutions has led to the generation of vast data, creating opportunities for Educational Data Mining (EDM…”
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  5. 5

    Evolution of Machine Learning in Tuberculosis Diagnosis: A Review of Deep Learning-Based Medical Applications Autor Singh, Manisha, Pujar, Gurubasavaraj Veeranna, Kumar, Sethu Arun, Bhagyalalitha, Meduri, Akshatha, Handattu Shankaranarayana, Abuhaija, Belal, Alsoud, Anas Ratib, Abualigah, Laith, Beeraka, Narasimha M., Gandomi, Amir H.

    ISSN: 2079-9292, 2079-9292
    Vydáno: Basel MDPI AG 01.09.2022
    Vydáno v Electronics (Basel) (01.09.2022)
    “… This review is focused on the limitations of conventional TB diagnostics and a broad description of various machine learning algorithms and their applications in TB diagnosis…”
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  6. 6

    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

    ISSN: 0165-5515, 1741-6485
    Vydáno: London, England SAGE Publications 01.06.2024
    Vydáno v Journal of information science (01.06.2024)
    “… 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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  7. 7

    MINAS: multiclass learning algorithm for novelty detection in data streams Autor de Faria, Elaine Ribeiro, Ponce de Leon Ferreira Carvalho, André Carlos, Gama, João

    ISSN: 1384-5810, 1573-756X
    Vydáno: New York Springer US 01.05.2016
    Vydáno v Data mining and knowledge discovery (01.05.2016)
    “… This work proposes MINAS, an algorithm for ND in data streams. MINAS deals with ND…”
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  8. 8

    Energy-Saving Optimization Method of Urban Rail Transit Based on Improved Differential Evolution Algorithm Autor Lu, Guancheng, He, Deqiang, Zhang, Jinlai

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 29.12.2022
    Vydáno v Sensors (Basel, Switzerland) (29.12.2022)
    “… Firstly, after analyzing the relationship between the idle distance and running energy-savings, an optimization method of traction energy-savings based on the combination of the inertia motion…”
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  9. 9

    A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning Autor Ding, Junyao, Du, Jianchao, Wang, Hejie, Xiao, Song

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 14.05.2025
    Vydáno v Scientific reports (14.05.2025)
    “… This paper proposes a two-stage feature selection method based on random forest and improved genetic algorithm…”
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  10. 10

    Machine Learning and Big Data Mining Reveal Earth's Deep Time Crustal Thickness and Tectonic Evolution: A New Chemical Mohometry Approach Autor Zhou, Jianping, Farahbakhsh, Ehsan, Williams, Simon, Li, Xiaohui, Liu, Yongjiang, Li, Sanzhong, Müller, R. Dietmar

    ISSN: 2169-9313, 2169-9356
    Vydáno: Washington Blackwell Publishing Ltd 01.05.2025
    “…Quantitative analysis of crustal thickness evolution across deep time poses critical insights into the planet's geological history…”
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  11. 11

    A New Machine Learning Algorithm for Regional Low-Carbon Economic Development Analysis Based on Data Mining Autor Liu, Xinlei

    ISSN: 2314-8896, 2314-8888
    Vydáno: New York Hindawi 25.08.2022
    Vydáno v Journal of function spaces (25.08.2022)
    “… The huge market demand for location-based information services provides huge impetus to the generation and development of mobile terminal positioning technology…”
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  12. 12

    A Multiple-detection-heads Machine Learning Algorithm for Detecting White Dwarfs Autor Zhang, Jiangchuan, Bu, Yude, Zhang, Mengmeng, Xie, Duo, Yi, Zhenping

    ISSN: 0067-0049, 1538-4365
    Vydáno: Saskatoon The American Astronomical Society 01.02.2025
    “… In recent years, machine learning has played a significant role in astronomical data mining, due to its speed, real time, and precision…”
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  13. 13

    Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm Autor Wu, Yanhong

    ISSN: 2261-2424, 2261-2424
    Vydáno: EDP Sciences 2025
    Vydáno v SHS web of conferences (2025)
    “… 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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  14. 14

    An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems Autor Faris, Hossam, Mafarja, Majdi M., Heidari, Ali Asghar, Aljarah, Ibrahim, Al-Zoubi, Ala’ M., Mirjalili, Seyedali, Fujita, Hamido

    ISSN: 0950-7051, 1872-7409
    Vydáno: Amsterdam Elsevier B.V 15.08.2018
    Vydáno v Knowledge-based systems (15.08.2018)
    “…•Two wrapper feature selection approaches using Salp Swarm Algorithm are proposed…”
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  15. 15

    A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem Autor Li, Yibing, Liu, Jie, Wang, Lei, Liu, Jinfu, Tang, Hongtao, Guo, Jun, Xu, Wenxiang

    ISSN: 1568-4946, 1872-9681
    Vydáno: Elsevier B.V 01.08.2024
    Vydáno v Applied soft computing (01.08.2024)
    “… stability of the solution result. However, data mining has a good performance in solving large-scale scheduling problems…”
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  16. 16

    The workshop scheduling problems based on data mining and particle swarm optimisation algorithm in machine learning areas Autor Su, Yingying, Han, Lianjuan, Wang, Huimin, Wang, Jianan

    ISSN: 1751-7575, 1751-7583
    Vydáno: Taylor & Francis 01.02.2022
    Vydáno v Enterprise information systems (01.02.2022)
    “… Finally, the global optimal solution can be searched by using the strong ability of genetic algorithm to jump out of local optimal to ensure that population evolution…”
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  17. 17

    An Effective Training Method for Counterfactual Multi-Agent Policy Network Based on Differential Evolution Algorithm Autor Qu, Shaochun, Guo, Ruiqi, Cao, Zijian, Liu, Jiawei, Su, Baolong, Liu, Minghao

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.09.2024
    Vydáno v Applied sciences (01.09.2024)
    “…’ policies, counterfactual multi-agent (COMA) stands out in most multi-agent reinforcement learning (MARL) algorithms…”
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  18. 18

    An adaptive hybrid differential evolution algorithm for continuous optimization and classification problems Autor Rauf, Hafiz Tayyab, Bangyal, Waqas Haider Khan, Lali, M. Ikramullah

    ISSN: 0941-0643, 1433-3058
    Vydáno: London Springer London 01.09.2021
    Vydáno v Neural computing & applications (01.09.2021)
    “…Differential evolution (DE) is recognized as a simplistic yet robust evolutionary algorithm…”
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  19. 19

    Robust Prototype-Based Learning on Data Streams Autor Shao, Junming, Huang, Feng, Yang, Qinli, Luo, Guangchun

    ISSN: 1041-4347, 1558-2191
    Vydáno: New York IEEE 01.05.2018
    “… by dynamically maintaining a set of prototypes in a proposed P-Tree, which are obtained based on the error-driven representativeness learning and synchronization-inspired constrained clustering…”
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    Improved Binary Meerkat Optimization Algorithm for efficient feature selection of supervised learning classification Autor Hussien, Reda M., Abohany, Amr A., Abd El-Mageed, Amr A., Hosny, Khalid M.

    ISSN: 0950-7051, 1872-7409
    Vydáno: Elsevier B.V 23.05.2024
    Vydáno v Knowledge-based systems (23.05.2024)
    “…Feature selection (FS) is a crucial step in machine learning and data mining projects…”
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