Suchergebnisse - hybrid data-mining algorithms

Development a Hybrid Recommender System Based-Classification Techniques in Data Mining Algorithms and Collaborative Filtering

Autoren: Huda Rashid Shakir Sarah Shihab Ahmed Sadiq Abdul Aziz Mehdi

Quelle: Journal Européen des Systèmes Automatisés. 58:1365-1378

Efficient COVID-19 detection using data mining algorithms: a comparison of basic and hybrid approaches

Autoren: Mohammad Saidi Mohammad Gheibi Adel Ghazikhani et al.

Quelle: Soft Computing. 29:1437-1451

Leveraging Computational Algorithms for Effective Explicit and Tacit Knowledge Capture: A Hybrid Approach Combining Expert Interviews, Machine Learning, and Data Mining Techniques

Autoren: Zuowei Li

Quelle: Applied and Computational Engineering. 114:40-45

Gene expression data mining by hybrid biclustering with improved GA and BA.

Autoren: Wu Z Wang J Wang X

Quelle: Scientific reports [Sci Rep] 2025 Sep 26; Vol. 15 (1), pp. 33208. Date of Electronic Publication: 2025 Sep 26.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH-Schlagworte: Algorithms* , Data Mining*/methods , Gene Expression Profiling*/methods , Computational Biology*/methods, Cluster Analysis ; Humans

A Hybrid Framework for Performance Optimization: Comparative Analysis of Machine Learning Algorithms in Data Mining

Autoren: Sarita Naruka Arvind Kumar Sharma Amit Sharma

Quelle: Advances in Intelligent Systems Research ISBN: 9789464636994

Hybrid Differential Evolution-Data Mining (HDEDM) Algorithm For Uncertain Dynamic CMS Problem

Autoren: Koushan, Mona Wood, Lincoln Jolai, Fariborz

A Hybrid Genetic-Neural Optimization Algorithm for Cold Chain Logistics Based on Multivariate Data Mining.

Autoren: Xie, Yueyue¹ (AUTHOR) YueyueXiee@outlook.com

Quelle: Journal of Advanced Manufacturing Systems. Nov2025, p1-27. 27p.

Schlagwörter: *ARTIFICIAL neural networks, *DATA mining, *MATHEMATICAL optimization, *SUPPLY chain management, *SUSTAINABLE development, *FREIGHT & freightage, GENETIC algorithms, PERISHABLE goods

Development a Hybrid Recommender System Based-Classification Techniques in Data Mining Algorithms and Collaborative Filtering.

Autoren: Shakir, Huda Rashid Ahmed, Sarah Shihab Mehdi, Sadiq Abdul Aziz

Quelle: Journal Européen des Systèmes Automatisés. Jul2025, Vol. 58 Issue 7, p1365-1378. 14p.

Schlagwörter: Naive Bayes classification, Recommender systems, Consumer preferences, Data mining, Classification algorithms

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

Autoren: Bilal Aslam Ahsen Maqsoom Ali Hassan Cheema et al.

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

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/95e1b81e653e466d897d27f2ff442f13

Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm

Autoren: Wei Zhang Yaqing Liu Qiang Zhang et al.

Quelle: Systems and Soft Computing, Vol 7, Iss , Pp 200339- (2025)

Schlagwörter: Chinese medicine teaching resources, Recommendation systems, Multivariate data mining, Hybrid recommendation algorithm, Personalized learning, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772941925001577; https://doaj.org/toc/2772-9419

Zugangs-URL: https://doaj.org/article/1f756f1b11cb4474a77c3458b2c8d45a

Hybrid data mining and data-driven algorithms for a green logistics transportation network in the post-COVID era: A case study in the USA

Autoren: Sina Abbasi Seyedeh Saeideh Mousavi Ebrahim Farbod et al.

Quelle: Systems and Soft Computing, Vol 6, Iss , Pp 200156- (2024)

Schlagwörter: Sustainable development, Big data analytics, Location-allocation, Data mining, Clustering, Metaheuristic algorithms, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772941924000851; https://doaj.org/toc/2772-9419

Zugangs-URL: https://doaj.org/article/6265fb34fed54eb99d60cc3916679199

A hybrid data mining framework to investigate roadway departure crashes on rural two-lane Highways: Applying Fast and Frugal Tree with Association Rules Mining.

Autoren: Hossain A Das S Sun X et al.

Quelle: Accident; analysis and prevention [Accid Anal Prev] 2025 Jul; Vol. 217, pp. 108066. Date of Electronic Publication: 2025 Apr 28.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Pergamon Press Country of Publication: England NLM ID: 1254476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2057 (Electronic) Linking ISSN: 00014575 NLM ISO Abbreviation: Accid Anal Prev Subsets: MEDLINE

MeSH-Schlagworte: Accidents, Traffic*/statistics & numerical data , Accidents, Traffic*/mortality , Data Mining*/methods , Rural Population*/statistics & numerical data , Automobile Driving*/statistics & numerical data , Environment Design*, Humans ; Male ; Female ; Middle Aged ; Louisiana ; Adult ; Algorithms ; Aged ; Risk Factors ; Young Adult ; Adolescent

A Travel Path Recommendation Algorithm Based on Hybrid Particle Swarm and Ant Colony for Social Media Shared Data Mining

Autoren: Kun Zhu

Quelle: Informatica. 48

LS-BMO-HDBSCAN as a hybrid memetic bacterial intelligence framework for efficient data clustering.

Autoren: Al-Nussairi, Ahmed Kateb Jumaah Abdulazez, Abdulsalam Abdulsattar Hadi, Ahmed Adnan et al.

Quelle: Scientific Reports. 11/19/2025, Vol. 15 Issue 1, p1-22. 22p.

Schlagwörter: *DATA mining, *CLUSTERING algorithms, *OPTIMIZATION algorithms, *K-means clustering, *COMPUTER performance

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

Autoren: Khabat Khosravi Wei Sun Zaher Mundher Yaseen et al.

Quelle: Hydrological Sciences Journal. 66:1457-1474

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

Zugangs-URL: 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

A hybrid approach combining generalized normal distribution optimization algorithm and fuzzy C-means with Calinski-Harabasz index for clustering optimization

Autoren: Moatasem Mahmood Ibrahim Omar Saber Qasim Talal Fadhil Hussein

Quelle: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 15, Iss 3 (2025)

Schlagwörter: feature selection, generalised normal distribution optimisation algorithm, fuzzy C-means clustering, data mining, Calinski-Harabasz index, Environmental engineering, TA170-171, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: https://ph.pollub.pl/index.php/iapgos/article/view/6921; https://doaj.org/toc/2083-0157; https://doaj.org/toc/2391-6761

Zugangs-URL: https://doaj.org/article/5077de9b3e1d401593f598fdc4be84c0

A Hybrid Data-Mining Algorithm and Data-Driven Supply Chain Modeling for Allocation Goods to Warehouses and Warehouse Service to Customers

Autoren: Sadra Ahmadi Reza Yousefpour

Quelle: چشم‌انداز مدیریت صنعتی, Vol 11, Iss 3, Pp 269-295 (2021)

Schlagwörter: warehouse location, Management. Industrial management, 0211 other engineering and technologies, warehouse allocation, data mining, 02 engineering and technology, HD28-70, supply chain, clustering

Zugangs-URL: https://doaj.org/article/60b0910397ec4767bc7115a75e4b84bc

CrossFIM: a spark-based hybrid frequent itemset mining algorithm for large datasets.

Autoren: Raj, Shashi Ramesh, Dharavath Gantela, Prabhakar

Quelle: Cluster Computing. Aug2025, Vol. 28 Issue 4, p1-23. 23p.

Schlagwörter: *ARTIFICIAL intelligence, *APRIORI algorithm, *DATA mining, *IMAGE processing, *COMPUTATIONAL complexity

Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process

Autoren: Haoxiang Wang

Quelle: Journal of Soft Computing Paradigm. 3:272-282

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

Zugangs-URL: https://irojournals.com/jscp/article/download/3/4/3

Using hybrid mountain gazelle optimization and particle swarm optimization algorithms to improve clustering.

Autoren: Mosavi, E. Shahzadeh Fazeli, S. A. Abbasi, E. et al.

Quelle: Cluster Computing; Oct2025, Vol. 28 Issue 7, p1-18, 18p

Schlagwörter: CLUSTERING algorithms, PARTICLE swarm optimization, MACHINE learning, DATA mining, MATHEMATICAL optimization, CENTROID, METAHEURISTIC algorithms