Suchergebnisse - Data mining–based evolution learning algorithm*

Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm

Autoren: Wu Yanhong

Quelle: SHS Web of Conferences, Vol 213, p 02031 (2025)

Schlagwörter: Social Sciences

Dateibeschreibung: electronic resource

Relation: https://www.shs-conferences.org/articles/shsconf/pdf/2025/04/shsconf_messd2025_02031.pdf; https://doaj.org/toc/2261-2424

Zugangs-URL: https://doaj.org/article/f9b7a0f1705546b39f69600b45ea822b

Toward Safer Flight Training: The Data-Driven Modeling of Accident Risk Network Using Text Mining Based on Deep Learning

Autoren: Zibo Zhuang Yongkang Hou Lei Yang et al.

Quelle: International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-21 (2024)

Schlagwörter: Aviation accident, Risk identification, Accident analysis, Text mining, Complex network, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1875-6883

Zugangs-URL: https://doaj.org/article/a29d49e5b2f648a3aff96c082eefb1ee

DRMM: A novel data mining-based emotion transfer detecting method for emotion prediction of social media.

Autoren: Shi, Wei Xue, Guangcong Yin, Xicheng et al.

Quelle: Journal of Information Science. Jun2024, Vol. 50 Issue 3, p590-606. 17p.

Schlagwörter: *Microblogs, *Machine learning, Affective forecasting (Psychology), Emotion recognition, Association rule mining, Emotional state, Social prediction, Standard deviations, Analytic hierarchy process

Inspecting Credit Card Fraud Identification Via Data Mining Classification Methods And Machine Learning Algorithms.

Autoren: Sharma, Narendra Tripathi, Smita

Quelle: Journal of Advanced Zoology. 2024, Vol. 45 Issue 1, p508-511. 4p.

A high utility itemsets mining algorithm based on co-evolution.

Autoren: Yang W Han M Dai Z et al.

Quelle: Scientific reports [Sci Rep] 2025 Dec 03. Date of Electronic Publication: 2025 Dec 03.

Publikationsart: Journal Article

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

Listening to the Past, Shaping the Future: A Data-mining Based and Visual Analysis of Five Decades of Gastric Carcinogenesis Research.

Autoren: Zhang T Tang X

Quelle: Biological procedures online [Biol Proced Online] 2025 Dec 08. Date of Electronic Publication: 2025 Dec 08.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: BioMed Central Country of Publication: England NLM ID: 100963717 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1480-9222 (Print) Linking ISSN: 14809222 NLM ISO Abbreviation: Biol Proced Online

Enhancing groundwater quality prediction through ensemble machine learning techniques.

Autoren: Karimi H Sahour S Khanbeyki M et al.

Quelle: Environmental monitoring and assessment [Environ Monit Assess] 2024 Dec 04; Vol. 197 (1), pp. 21. Date of Electronic Publication: 2024 Dec 04.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE

MeSH-Schlagworte: Groundwater*/chemistry , Machine Learning* , Environmental Monitoring*/methods, Iran ; Water Quality ; Water Pollutants, Chemical/analysis ; Algorithms ; Water Pollution, Chemical/statistics & numerical data

A self-organization mining based hybrid evolution learning for TSK-type fuzzy model design.

Autoren: Lin, Sheng-Fuu Chang, Jyun-Wei Hsu, Yung-Chi

Quelle: Applied Intelligence; Mar2012, Vol. 36 Issue 2, p454-471, 18p

Schlagwörter: FUZZY systems, DATA mining, DECISION support systems, KNOWLEDGE management, GENETIC algorithms

On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis.

Autoren: Rodríguez, José‐Víctor Rodríguez‐Rodríguez, Ignacio Woo, Wai Lok

Quelle: WIREs: Data Mining & Knowledge Discovery. Sep/Oct2022, Vol. 12 Issue 5, p1-32. 32p.

Schlagwörter: *Artificial intelligence, *Data mining, *Machine learning, Astrophysics, Geodetic astronomy, Astronomy

Self-organization hybrid evolution learning algorithm for recurrent wavelet-based neuro-fuzzy identifier design.

Autoren: Hsu, Yung-Chi Lin, Sheng-Fuu

Quelle: Journal of Intelligent & Fuzzy Systems; 2013, Vol. 24 Issue 3, p521-533, 13p, 2 Diagrams, 3 Charts, 5 Graphs

Schlagwörter: MACHINE learning, ALGORITHMS, RECURSIVE sequences (Mathematics), WAVELETS (Mathematics), FUZZY systems, PROBLEM solving, DATA mining

DAPK1 identified as a novel biomarker for colorectal cancer liver metastasis.

Autoren: Gao, Yina Zhang, Zhenyu Feng, Zhen et al.

Quelle: Cancer Cell International; 11/12/2025, Vol. 25 Issue 1, p1-15, 15p

Schlagwörter: COLORECTAL cancer, LIVER metastasis, DRUG target, CHROMATIN, MACROPHAGES, BIOMARKERS, GENOME editing, MACHINE learning

A review on unsupervised learning algorithms and applications in supply chain management.

Autoren: Rolf, Benjamin Beier, Alexander Jackson, Ilya et al.

Quelle: International Journal of Production Research; Mar2025, Vol. 63 Issue 5, p1933-1983, 51p

Schlagwörter: INDUSTRY classification, MACHINE learning, SUPPLY chain management, GENERATIVE adversarial networks, ASSOCIATION rule mining, MARKET volatility

Special Issue "Algorithms for Feature Selection (2nd Edition)".

Autoren: Khan, Muhammad Adnan

Quelle: Algorithms; Jan2025, Vol. 18 Issue 1, p16, 6p

Schlagwörter: SCIENTIFIC method, FEATURE selection, GENETIC programming, STATISTICAL learning, BEHAVIOR modification, DIFFERENTIAL evolution

Using Data Analytics in Financial Statement Fraud Detection and Prevention: A Systematic Review of Methods, Challenges, and Future Directions.

Autoren: Gkegkas, Michail Kydros, Dimitrios Pazarskis, Michail

Quelle: Journal of Risk & Financial Management; Nov2025, Vol. 18 Issue 11, p598, 22p

Schlagwörter: DATA analytics, ACCOUNTING fraud, ANOMALY detection (Computer security), DETECTION algorithms, RISK management in business, INFORMATION resources management, MACHINE learning, PREDICTION models

Predicting Students' Academic Performances Using Machine Learning Algorithms in Educational Data Mining.

Autoren: KOCAKOYUN AYDOĞAN, Şenay PURA, Turgut BİNGÜL, Fatih

Quelle: Malaysian Online Journal of Educational Technology; 2024, Vol. 12 Issue 4, p131-153, 23p

Schlagwörter: ACADEMIC achievement, MACHINE learning, DATA mining, EDUCATIONAL quality, EARNED value management

Research on Gas Concentration Anomaly Detection in Coal Mining Based on SGDBO-Transformer-LSSVM.

Autoren: Liu, Mingyang Zhang, Longcheng Yan, Zhenguo et al.

Quelle: Processes; Sep2025, Vol. 13 Issue 9, p2699, 24p

Schlagwörter: COAL mining, METHANE, ACCIDENT prevention, OUTLIER detection, MATHEMATICAL optimization, DEEP learning, MULTISENSOR data fusion, FEATURE extraction

Machine Learning Model for Predicting the Height of the Water-Conducting Fracture Zone Considering the Influence of Key Stratum and Dip Mining Intensity.

Autoren: Che, Yuhang Cui, Ximin Wang, Yuanjian et al.

Quelle: Water (20734441); Jan2025, Vol. 17 Issue 2, p234, 22p

Schlagwörter: MACHINE learning, STANDARD deviations, MINES & mineral resources, OPTIMIZATION algorithms, COAL mining

Research on Multi-Source Information-Based Mineral Prospecting Prediction Using Machine Learning.

Autoren: Xu, Jie Li, Yongmei Liu, Wei et al.

Quelle: Minerals (2075-163X); Oct2025, Vol. 15 Issue 10, p1046, 26p

Schlagwörter: MACHINE learning, DATA integration, SUPPORT vector machines, RANDOM forest algorithms, ENSEMBLE learning, PROSPECTING, MINERALIZATION

Geografische Kategorien: HUNAN Sheng (China), CHINA

Hybrid Drive Simulation Architecture for Power Distribution Based on the Federated Evolutionary Monte Carlo Algorithm.

Autoren: Jia, Dongli Yang, Xiaoyu Sheng, Wanxing et al.

Quelle: Energies (19961073); Nov2025, Vol. 18 Issue 21, p5595, 20p

Schlagwörter: ELECTRIC power distribution, MATHEMATICAL optimization, CLUSTERING algorithms, DISTRIBUTED computing, ENSEMBLE learning, HYBRID computer simulation, MONTE Carlo method, LONG short-term memory

Data-Driven Loan Default Prediction: A Machine Learning Approach for Enhancing Business Process Management.

Autoren: Zhang, Xinyu Zhang, Tianhui Hou, Lingmin et al.

Quelle: Systems; Jul2025, Vol. 13 Issue 7, p581, 26p

Schlagwörter: MACHINE learning, BOOSTING algorithms, RANDOM forest algorithms, BUSINESS process management, RISK managers, COUNTERPARTY risk