Suchergebnisse - hybrid data-mining algorithms

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    Neural Network and Genetic Algorithm based Hybrid Data Mining Algorithm (Hybrid Data Mining Algorithm) von Tiwari, Anil Kumar, Ramakrishna, G., Sharma, Lokesh Kumar, Kashyap, Sunil Kumar

    Veröffentlicht: IEEE 01.10.2019
    “… A hybrid data mining algorithm is presented in this paper. This hybridization is considered the neural network and genetic algorithm …”
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    Tagungsbericht
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    Efficient COVID-19 detection using data mining algorithms: a comparison of basic and hybrid approaches: Efficient COVID-19 detection using data mining algorithms: a comparison of von Saidi, Mohammad, Gheibi, Mohammad, Ghazikhani, Adel, Lotfata, Aynaz, Chahkandi, Benyamin, Familsamavati, Sajad, Behzadian, Kourosh

    ISSN: 1432-7643, 1433-7479
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2025
    Veröffentlicht in Soft computing (Berlin, Germany) (01.02.2025)
    “… This study aims to compare the performance of basic and hybrid data mining algorithms in diagnosing COVID-19, using blood test results and clinical information to identify the most effective approach …”
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    Journal Article
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    Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms von Khosravi, Khabat, Sheikh Khozani, Zohreh, Cooper, James R.

    ISSN: 1364-8152, 1873-6726
    Veröffentlicht: Oxford Elsevier Ltd 01.10.2021
    “… Data mining algorithms have been gaining more attention in this field due to their high performance and flexibility …”
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    A hybrid data mining driven algorithm for long term electric peak load and energy demand forecasting von Kazemzadeh, Mohammad-Rasool, Amjadian, Ali, Amraee, Turaj

    ISSN: 0360-5442, 1873-6785
    Veröffentlicht: Oxford Elsevier Ltd 01.08.2020
    Veröffentlicht in Energy (Oxford) (01.08.2020)
    “… In order to capture the nonlinear and complex pattern in yearly peak load and energy demand data, a hybrid long term forecasting method based on data mining technique and Time Series is proposed …”
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    Improving daily stochastic streamflow prediction: comparison of novel hybrid data-mining algorithms von Khosravi, Khabat, Golkarian, Ali, Booij, Martijn J., Barzegar, Rahim, Sun, Wei, Yaseen, Zaher Mundher, Mosavi, Amir

    ISSN: 0262-6667, 2150-3435, 2150-3435
    Veröffentlicht: Abingdon Taylor & Francis 04.07.2021
    Veröffentlicht in Hydrological sciences journal (04.07.2021)
    “… In the current paper, the efficiency of three new standalone data-mining algorithms [M5 Prime (M5P), Random Forest (RF), M5Rule (M5R …”
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    Apriori Algorithm and Hybrid Apriori Algorithm in the Data Mining: A Comprehensive Review von Zakur, Yahya, Flaih, Laith

    ISSN: 2267-1242, 2555-0403, 2267-1242
    Veröffentlicht: Les Ulis EDP Sciences 01.01.2023
    Veröffentlicht in E3S web of conferences (01.01.2023)
    “… Data mining has the potential to empower healthcare organizations by allowing them to analyze various aspects of patient information and discover connections between seemingly unrelated data …”
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    Journal Article Tagungsbericht
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    Water quality management using hybrid machine learning and data mining algorithms: An indexing approach von Aslam, Bilal, Maqsoom, Ahsen, Cheema, Ali Hassan, Ullah, Fahim, Alharbi, Abdullah, Imran, Muhammad

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2022
    Veröffentlicht in IEEE access (2022)
    “… ), were used in this study. In addition, 12 hybrid data-mining algorithms (combination of standalone, bagging (BA …”
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    A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring von Koutanaei, Fatemeh Nemati, Sajedi, Hedieh, Khanbabaei, Mohammad

    ISSN: 0969-6989, 1873-1384
    Veröffentlicht: Elsevier Ltd 01.11.2015
    Veröffentlicht in Journal of retailing and consumer services (01.11.2015)
    “… to achieve a higher performance in the proposed model. As a result, the present paper has developed a hybrid data mining model of feature selection and ensemble learning classification …”
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    A novel feature selection method for data mining tasks using hybrid Sine Cosine Algorithm and Genetic Algorithm von Abualigah, Laith, Dulaimi, Akram Jamal

    ISSN: 1386-7857, 1573-7543
    Veröffentlicht: New York Springer US 01.09.2021
    Veröffentlicht in Cluster computing (01.09.2021)
    “… , and irrelevant attributes in the original dataset. A new hybrid feature selection method is proposed using the Sine Cosine Algorithm (SCA …”
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    A Hybrid Data-Mining Algorithm and Data-Driven Supply Chain Modeling for Allocation Goods to Warehouses and Warehouse Service to Customers von Sadra Ahmadi, Reza Yousefpour

    ISSN: 2251-9874, 2645-4165
    Veröffentlicht: Shahid Beheshti University 23.09.2021
    Veröffentlicht in چشم‌انداز مدیریت صنعتی (23.09.2021)
    “… In this research, the issue of product allocation in a situation that there are a large number customers and goods are various, is investigated. Expanding the …”
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    Hybrid forecasting model-based data mining and genetic algorithm-adaptive particle swarm optimisation: a case study of wind speed time series von Wang, Jianzhou, Zhang, Fanyong, Liu, Feng, Ma, Jianjun

    ISSN: 1752-1416, 1752-1424, 1752-1424
    Veröffentlicht: The Institution of Engineering and Technology 01.03.2016
    Veröffentlicht in IET renewable power generation (01.03.2016)
    “… This study proposes a hybrid forecasting model that can effectively provide preprocessing for the original data and improve forecasting accuracy …”
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    Hybrid data mining and data-driven algorithms for a green logistics transportation network in the post-COVID era: A case study in the USA von Abbasi, Sina, Mousavi, Seyedeh Saeideh, Farbod, Ebrahim, Yousefi Sorkhi, Mohammad, Parvin, Mohammad

    ISSN: 2772-9419, 2772-9419
    Veröffentlicht: Elsevier B.V 01.12.2024
    Veröffentlicht in Systems and soft computing (01.12.2024)
    “… This study examines the problem of item allocation in a post-COVID environment with various products and a large customer base. The number of customers has …”
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    Journal Article
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    Improving prediction of water quality indices using novel hybrid machine-learning algorithms von Bui, Duie Tien, Khosravi, Khabat, Tiefenbacher, John, Nguyen, Hoang, Kazakis, Nerantzis

    ISSN: 0048-9697, 1879-1026, 1879-1026
    Veröffentlicht: Netherlands Elsevier B.V 15.06.2020
    Veröffentlicht in The Science of the total environment (15.06.2020)
    “… )) and 12 hybrid data-mining algorithms (combinations of standalones with bagging (BA), CV parameter selection (CVPS …”
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    Genomic Scoring Detection in Carcinoma to Mast Cells by using Hybrid Algorithms of Data Mining von Muruganandam, S., Subbaiah, Dr. S.

    ISSN: 2278-3075, 2278-3075
    Veröffentlicht: 30.01.2020
    “… It concentrated on assessing the discovery of lung disease in patients with Data mining methods …”
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    Hybrid evolutionary algorithms for classification data mining von Panda, Mrutyunjaya, Abraham, Ajith

    ISSN: 0941-0643, 1433-3058
    Veröffentlicht: London Springer London 01.04.2015
    Veröffentlicht in Neural computing & applications (01.04.2015)
    “… In this paper, we propose novel methods to find the best relevant feature subset using fuzzy rough set-based attribute subset selection with biologically inspired algorithm search such as ant colony …”
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    Efficient COVID-19 detection using data mining algorithms: a comparison of basic and hybrid approaches von Saidi, Mohammad, Gheibi, Mohammad, Ghazikhani, Adel, Lotfata, Aynaz, Chahkandi, Benyamin, Familsamavati, Sajad, Behzadian, Kourosh

    ISSN: 1432-7643, 1433-7479
    Veröffentlicht: Heidelberg Springer Nature B.V 01.02.2025
    Veröffentlicht in Soft computing (Berlin, Germany) (01.02.2025)
    “… This study aims to compare the performance of basic and hybrid data mining algorithms in diagnosing COVID-19, using blood test results and clinical information to identify the most effective approach …”
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    Journal Article
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    A hybrid evolutionary algorithm for attribute selection in data mining von Tan, K.C., Teoh, E.J., Yu, Q., Goh, K.C.

    ISSN: 0957-4174, 1873-6793
    Veröffentlicht: Elsevier Ltd 01.05.2009
    Veröffentlicht in Expert systems with applications (01.05.2009)
    “… Real life data sets are often interspersed with noise, making the subsequent data mining process difficult …”
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    Solving flexible flow-shop problem with a hybrid genetic algorithm and data mining: A fuzzy approach von Khademi Zare, H., Fakhrzad, M.B.

    ISSN: 0957-4174, 1873-6793
    Veröffentlicht: Elsevier Ltd 01.06.2011
    Veröffentlicht in Expert systems with applications (01.06.2011)
    “… ► Therefore, using a combination of genetic algorithm and an attribute-deductive tool such as data mining, a near optimal solution can be achieved …”
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    Bedload transport rate prediction: Application of novel hybrid data mining techniques von Khosravi, Khabat, Cooper, James R., Daggupati, Prasad, Thai Pham, Binh, Tien Bui, Dieu

    ISSN: 0022-1694, 1879-2707
    Veröffentlicht: Elsevier B.V 01.06.2020
    Veröffentlicht in Journal of hydrology (Amsterdam) (01.06.2020)
    “… •Eight standalone and hybrid data mining algorithms were used to predict bedload transport rate in a laboratory flume …”
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