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

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

Planning and layout of tourism and leisure facilities based on POI big data and machine learning.

Autoren: Wu, Shifeng Wang, Jiangyun Jia, Yinuo et al.

Quelle: PLoS ONE; 3/4/2025, Vol. 20 Issue 3, p1-20, 20p

Schlagwörter: MACHINE learning, CART algorithms, SPATIAL arrangement, INNER cities, URBAN tourism, SUSTAINABLE tourism

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

Evolving Dispatching Rules in Improved BWO Heuristic Algorithm for Job-Shop Scheduling.

Autoren: Zhang, Zhen Jin, Xin Wang, Yue

Quelle: Electronics (2079-9292); Jul2024, Vol. 13 Issue 13, p2635, 30p

Schlagwörter: PRODUCTION scheduling, HEURISTIC algorithms, METAHEURISTIC algorithms, MACHINE learning, OPTIMIZATION algorithms, MAXIMUM power point trackers, DATA mining, FLOW shops

Geografische Kategorien: GERMANY (East)

Data mining-based hierarchical cooperative coevolutionary algorithm for TSK-type neuro-fuzzy networks design.

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

Quelle: Neural Computing & Applications; Aug2013, Vol. 23 Issue 2, p485-498, 14p, 8 Diagrams, 6 Charts, 1 Graph

Schlagwörter: DATA mining, HIERARCHICAL Bayes model, EVOLUTIONARY algorithms, FUZZY systems, THREE-dimensional imaging, COMPUTER networks, COMPUTER systems

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

Dynamic Migration Algorithm of Virtual Network Aware Data Based on Machine Learning.

Autoren: Bi, Chao

Quelle: Mobile Networks & Applications; Jun2022, Vol. 27 Issue 3, p965-974, 10p

Schlagwörter: VIRTUAL networks, MACHINE learning, ALGORITHMS, ELECTRONIC data processing, SERVER farms (Computer network management), PROBLEM solving

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

Autoren: Yung-Chi Hsu Sheng-Fuu Lin

Quelle: Journal of Intelligent & Fuzzy Systems. 24:521-533

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

Zugangs-URL: https://dblp.uni-trier.de/db/journals/jifs/jifs24.html#HsuL13
https://ir.nctu.edu.tw:443/handle/11536/21473
https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs540
https://scholar.nycu.edu.tw/en/publications/self-organization-hybrid-evolution-learning-algorithm-for-recurre

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

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

Quelle: Applied Intelligence. 36:454-471

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

Zugangs-URL: https://ir.nctu.edu.tw:443/handle/11536/15591
https://dblp.uni-trier.de/db/journals/apin/apin36.html#LinCH12
https://link.springer.com/article/10.1007/s10489-010-0271-y/email/correspondent/c1/new
https://ir.nctu.edu.tw:443/bitstream/11536/15591/1/000300657400013.pdf
https://doi.org/10.1007/s10489-010-0271-y

Quantitative Assessment of Volcanic Thermal Activity from Space Using an Isolation Forest Machine Learning Algorithm.

Autoren: Corradino, Claudia Malaguti, Arianna Beatrice Ramsey, Micheal S. et al.

Quelle: Remote Sensing; Jun2024, Vol. 16 Issue 11, p2001, 17p

Schlagwörter: MODIS (Spectroradiometer), LAND surface temperature, MACHINE learning

Firma/Körperschaft: UNITED States. National Aeronautics & Space Administration

Optimization of Genomic Breeding Value Estimation Model for Abdominal Fat Traits Based on Machine Learning.

Autoren: Chen, Hengcong Dou, Dachang Lu, Min et al.

Quelle: Animals (2076-2615); Oct2025, Vol. 15 Issue 19, p2843, 24p

Schlagwörter: MACHINE learning, POULTRY breeding, ABDOMINAL adipose tissue, GENETIC risk score, GENETIC markers, FEATURE selection, FORECASTING, ENSEMBLE learning

Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers

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

Quelle: Applied Soft Computing. Apr2011, Vol. 11 Issue 3, p3247-3259. 13p.

Schlagwörter: Reinforcement learning, Evolutionary computation, Algorithms, Data mining, Fuzzy sets, Association rule mining

Fake Review Detection and Removal: A Comparative Analysis using ML and DL Models.

Autoren: Garima Vaibhavi Singh, Yamini et al.

Quelle: Grenze International Journal of Engineering & Technology (GIJET); Jan2024, Vol. 10 Issue 1, Part 1, p200-208, 9p

Schlagwörter: MACHINE learning, DECISION trees, ONLINE social networks, K-nearest neighbor classification, RANDOM forest algorithms, COMPARATIVE studies

HELA: A novel hybrid ensemble learning algorithm for predicting academic performance of students.

Autoren: Keser, Sinem Bozkurt Aghalarova, Sevda

Quelle: Education & Information Technologies; May2022, Vol. 27 Issue 4, p4521-4552, 32p

Schlagwörter: MACHINE learning, CONSCIOUSNESS, SCHOOL environment, DATA mining, SEARCH algorithms, COVID-19 pandemic