Výsledky vyhledávání - "hybrid data-mining algorithms"

Improving daily stochastic streamflow prediction: comparison of novel hybrid data-mining algorithms

Autoři: Khabat Khosravi Wei Sun Zaher Mundher Yaseen a další

Zdroj: Hydrological Sciences Journal. 66:1457-1474

Témata: Attribute Selected Classifier, M5Rule, Taleghan catchment, 0207 environmental engineering, data mining, streamflow modelling, 02 engineering and technology, M5P, bagging, random forest

Přístupová URL adresa: https://ris.utwente.nl/ws/files/275667582/Khosravi2021.pdf
https://research.utwente.nl/en/publications/d9d0bf1f-b2f7-4fb9-a300-fb2140ebf8b2
https://doi.org/10.1080/02626667.2021.1928673
https://www.tandfonline.com/doi/full/10.1080/02626667.2021.1928673
https://profdoc.um.ac.ir/paper-abstract-1085633.html

Image classification using hybrid data mining algorithms - a review

Autoři: Thamilselvan P J. G. R. Sathiaseelan

Zdroj: 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). :1-6

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://ieeexplore.ieee.org/document/7192922
https://ieeexplore.ieee.org/document/7192922

Survey on Hybrid Data Mining Algorithms for Intrusion Detection System

Autoři: Pradip M. Jawandhiya Harshal N. Datir

Zdroj: Advances in Intelligent Systems and Computing ISBN: 9789811314018

Přístupová URL adresa: https://link.springer.com/chapter/10.1007%2F978-981-13-1402-5_22

Selection of evolutionary approach based hybrid data mining algorithms for decision support systems and business intelligence

Autoři: Vivek Kumar Sehgal Nitin Pardeep Kumar a další

Zdroj: Proceedings of the International Conference on Advances in Computing, Communications and Informatics. :1041-1046

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dl.acm.org/citation.cfm?doid=2345396.2345563
https://dblp.uni-trier.de/db/conf/icacci/icacci2012.html#KumarNCS12
https://dl.acm.org/doi/10.1145/2345396.2345563

Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms

Autoři: Khosravi, Khabat Sheikh Khozani, Zohreh Cooper, James R.

Zdroj: Environmental Modelling & Software

Témata: Künstliche Intelligenz, Gravel-bed rivers, Data Mining, Hydraulic geometry, 01 natural sciences, Maschinelles Lernen, 6. Clean water, 0105 earth and related environmental sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://e-pub.uni-weimar.de/opus4/files/4499/Zohreh-Sheikh-Khozani_Predicting.pdf
https://livrepository.liverpool.ac.uk/3136207/
http://doi.org/10.1016/j.envsoft.2021.105165
https://www.sciencedirect.com/science/article/pii/S1364815221002085
https://doi.org/10.1016/j.envsoft.2021.105165

Water Quality Management Using Hybrid Machine Learning and Data Mining Algorithms: An Indexing Approach

Autoři: Bilal Aslam Ahsen Maqsoom Ali Hassan Cheema a další

Zdroj: IEEE Access, Vol 10, Pp 119692-119705 (2022)

Témata: Classification algorithms, North Pakistan, 0207 environmental engineering, Indexes, 02 engineering and technology, Random forests, Machine learning algorithms, 6. Clean water, TK1-9971, Water quality, Water quality index, machine learning, Rivers, Water pollution, Machine learning, cross-validation techniques, Electrical engineering. Electronics. Nuclear engineering, 14. Life underwater, hybrid data-mining algorithms, Data mining, Prediction algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/95e1b81e653e466d897d27f2ff442f13

A hybrid and exploratory approach to knowledge discovery in metabolomic data

Autoři: Grissa, Dhouha Comte, Blandine Pétéra, Mélanie a další

Přispěvatelé: Grissa, Dhouha Comte, Blandine Pétéra, Mélanie a další

Zdroj: Discrete Applied Mathematics. 273:103-116

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], 0301 basic medicine, 0303 health sciences, Formal Concept Analysis, knowledge discovery, data and pattern exploration, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], metabolomic data, Hybrid knowledge discovery, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 03 medical and health sciences, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], classification, hybrid data mining algorithms, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], interpretation, visualization, pattern mining, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]

Popis souboru: application/pdf

Přístupová URL adresa: https://www.sciencedirect.com/science/article/am/pii/S0166218X18306346
https://inria.hal.science/hal-02195463v1/document
https://inria.hal.science/hal-02195463v1
https://doi.org/10.1016/j.dam.2018.11.025
https://hal.inria.fr/hal-02195463
https://hal.archives-ouvertes.fr/hal-02195463v1
https://hal.inria.fr/hal-02195463/document
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002280243286293
https://www.sciencedirect.com/science/article/pii/S0166218X18306346
https://dblp.uni-trier.de/db/journals/dam/dam273.html#GrissaCPPN20

Improving daily stochastic streamflow prediction: comparison of novel hybrid data-mining algorithms.

Autoři: Khosravi, Khabat Golkarian, Ali Booij, Martijn J. a další

Zdroj: Hydrological Sciences Journal/Journal des Sciences Hydrologiques; Jul2021, Vol. 66 Issue 9, p1457-1474, 18p

Témata: STREAMFLOW, DATA mining, MOVING average process, BOOTSTRAP aggregation (Algorithms), RANDOM forest algorithms

Selection of evolutionary approach based hybrid data mining algorithms for decision support systems and business intelligence.

Autoři: Kumar, Pardeep Nitin Chauhan, Durg Singh a další

Zdroj: ACM International Conference Proceeding Series; 8/3/2012, p1041-1046, 6p

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...: M. Saidi et al.

Autoři: Saidi, Mohammad Gheibi, Mohammad Ghazikhani, Adel a další

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Feb2025, Vol. 29 Issue 3, p1437-1451. 15p.

Témata: *INFORMATION storage & retrieval systems, *ARTIFICIAL intelligence, *RESPONSE surfaces (Statistics), *BOOTSTRAP aggregation (Algorithms), *DATA mining, *DECISION trees, *NAIVE Bayes classification

Hybrid Data Mining For Member Determination And Financing Prediction In Syariah Financing Saving And Loan Cooperatives

Autoři: Ondra Eka Putra Randy Permana

Zdroj: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 8, Iss 2, Pp 309-320 (2024)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 8 No 2 (2024): April 2024 ; 309-320

Témata: k-nearest neighbor (k-NN), k-nearest neighbor (k-nn), TA168, k-medoids, KPPS, kpps, 1. No poverty, naïve bayes, Information technology, hybrid data mining, T58.5-58.64, Systems engineering

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/6504c2abddc64af3bc454a4ca4cc8eaa
http://jurnal.iaii.or.id/index.php/RESTI/article/view/5683

Streamflow drought index-based prediction of hydrological drought using M5P and gene expression programming models.

Autoři: Singh, Balraj Rai, Priya Singh, Sandeep a další

Zdroj: Applied Water Science; Aug2025, Vol. 15 Issue 8, p1-15, 15p

Témata: DROUGHT forecasting, WATER management, DROUGHTS, WATER shortages, STATISTICAL measurement

Geografický termín: UTTARAKHAND (India), INDIA

Prediction of the monthly river water level by using ensemble decomposition modeling.

Autoři: Pande, Chaitanya Baliram Sidek, Lariyah Mohd Halder, Bijay a další

Zdroj: Scientific Reports; 7/24/2025, Vol. 15 Issue 1, p1-25, 25p

Rapid Classification and Quantitative Prediction of Aflatoxin B 1 Content and Colony Counts in Nutmeg Based on Electronic Nose.

Autoři: Yang, Ruiqi Zhu, Keyao Zhao, Yuanyu a další

Zdroj: Molecules; Jun2025, Vol. 30 Issue 12, p2538, 16p

Témata: MACHINE learning, ELECTRONIC noses, BACK propagation, NUTMEG tree, FOOD quality, ODORS

Prediction Model for Shield Tunneling Roll Angle and Pitch Angle: A PCA-PSO-LGBM Approach.

Autoři: Tang, Peng Hu, Jinjian Feng, Tugen a další

Zdroj: Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 5, p2277, 21p

Témata: PARTICLE swarm optimization, PRINCIPAL components analysis, SENSITIVITY analysis, PREDICTION models, THRUST

Assessment of Water Hydrochemical Parameters Using Machine Learning Tools.

Autoři: Malashin, Ivan Nelyub, Vladimir Borodulin, Aleksei a další

Zdroj: Sustainability (2071-1050); Jan2025, Vol. 17 Issue 2, p497, 21p

Harnessing Data-mining Algorithms to Model and Evaluate Factors Influencing Distortion Product Otoacoustic Emission Variations in a Mining Industry.

Autoři: Zare, Sajad Esmaeili, Reza Nakhaei pour, Mojtaba

Zdroj: International Journal of Environmental Health Engineering; Dec2024, Vol. 13, p1-7, 7p

Streamflow Prediction with Time-Lag-Informed Random Forest and Its Performance Compared to SWAT in Diverse Catchments.

Autoři: Moges, Desalew Meseret Virro, Holger Kmoch, Alexander a další

Zdroj: Water (20734441); Oct2024, Vol. 16 Issue 19, p2805, 21p

Témata: MACHINE learning, RANDOM forest algorithms, HYDROLOGIC models, STREAMFLOW, ARTIFICIAL intelligence

Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India.

Autoři: Halder, Krishnagopal Srivastava, Amit Kumar Ghosh, Anitabha a další

Zdroj: Environmental Sciences Europe; 9/2/2024, Vol. 36 Issue 1, p1-28, 28p

Témata: SUSTAINABILITY, GROUNDWATER management, RANDOM forest algorithms, DRINKING water, MACHINE learning

An Artificial Neural Network Model for Water Quality Prediction in the Amoju Hydrographic Subbasin, Cajamarca-Peru.

Autoři: Huaman Llanos, Alex Alfredo Yalta Meza, Jeimis Royler Sanchez Cordova, Danicza Violeta a další

Zdroj: International Journal of Advanced Computer Science & Applications; Sep2024, Vol. 15 Issue 9, p1021-1032, 12p