Suchergebnisse - hybrid data-mining algorithms
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Neural Network and Genetic Algorithm based Hybrid Data Mining Algorithm (Hybrid Data Mining Algorithm)
Veröffentlicht: IEEE 01.10.2019Veröffentlicht in 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (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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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
ISSN: 1432-7643, 1433-7479Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2025Veröffentlicht 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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Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms
ISSN: 1364-8152, 1873-6726Veröffentlicht: Oxford Elsevier Ltd 01.10.2021Veröffentlicht in Environmental modelling & software : with environment data news (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
ISSN: 0360-5442, 1873-6785Veröffentlicht: Oxford Elsevier Ltd 01.08.2020Veröffentlicht 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
ISSN: 0262-6667, 2150-3435, 2150-3435Veröffentlicht: Abingdon Taylor & Francis 04.07.2021Veröffentlicht 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
ISSN: 2267-1242, 2555-0403, 2267-1242Veröffentlicht: Les Ulis EDP Sciences 01.01.2023Veröffentlicht 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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Water quality management using hybrid machine learning and data mining algorithms: An indexing approach
ISSN: 2169-3536, 2169-3536Veröffentlicht: Piscataway IEEE 2022Veröffentlicht 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
ISSN: 0969-6989, 1873-1384Veröffentlicht: Elsevier Ltd 01.11.2015Veröffentlicht 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
ISSN: 1386-7857, 1573-7543Veröffentlicht: New York Springer US 01.09.2021Veröffentlicht 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
ISSN: 2251-9874, 2645-4165Veröffentlicht: Shahid Beheshti University 23.09.2021Veröffentlicht 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
ISSN: 1752-1416, 1752-1424, 1752-1424Veröffentlicht: The Institution of Engineering and Technology 01.03.2016Veröffentlicht 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
ISSN: 2772-9419, 2772-9419Veröffentlicht: Elsevier B.V 01.12.2024Veröffentlicht 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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Improving prediction of water quality indices using novel hybrid machine-learning algorithms
ISSN: 0048-9697, 1879-1026, 1879-1026Veröffentlicht: Netherlands Elsevier B.V 15.06.2020Veröffentlicht 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
ISSN: 2278-3075, 2278-3075Veröffentlicht: 30.01.2020Veröffentlicht in International journal of innovative technology and exploring engineering (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
ISSN: 0941-0643, 1433-3058Veröffentlicht: London Springer London 01.04.2015Veröffentlicht 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
ISSN: 1432-7643, 1433-7479Veröffentlicht: Heidelberg Springer Nature B.V 01.02.2025Veröffentlicht 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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A hybrid evolutionary algorithm for attribute selection in data mining
ISSN: 0957-4174, 1873-6793Veröffentlicht: Elsevier Ltd 01.05.2009Veröffentlicht 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
ISSN: 0957-4174, 1873-6793Veröffentlicht: Elsevier Ltd 01.06.2011Veröffentlicht 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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A Travel Path Recommendation Algorithm Based on Hybrid Particle Swarm and Ant Colony for Social Media Shared Data Mining
ISSN: 0350-5596, 1854-3871Veröffentlicht: 01.10.2024Veröffentlicht in Informatica (Ljubljana) (01.10.2024)Volltext
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Bedload transport rate prediction: Application of novel hybrid data mining techniques
ISSN: 0022-1694, 1879-2707Veröffentlicht: Elsevier B.V 01.06.2020Veröffentlicht 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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