Výsledky vyhľadávania - Clustering-mining methods AND algorithms

Clustering Mining Method of College Students’ Physical Exercise Behavior Characteristics based on Ant Colony Algorithm

Autori: Jianqiang Feng

Zdroj: Journal of Intelligent Computing. 16:71-78

Clustering Mining Method of College Students’ Physical Exercise Behavior Characteristics Based on Ant Colony Algorithm

Autori: Shuo Wang

Zdroj: Informatica. 48

Clustering Mining Method Analysis of Human Resources Big Data Driven by Swarm Intelligence Algorithm

Autori: Xijun Zhang

Zdroj: Lecture Notes on Data Engineering and Communications Technologies ISBN: 9789819911561

Data Clustering Mining Method of Social Network Talent Recruitment Stream Based on MST Algorithm

Autori: Hongjian Li Nan Hu

Zdroj: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031288661

An Algorithm for the Shape-Based Distance of Microseismic Time Series Waveforms and Its Application in Clustering Mining Events.

Autori: Luo, Hao Liu, Ziyu Ge, Song a ďalší

Zdroj: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 14, p7891, 18p

Predmety: MICROSEISMS, CLUSTERING algorithms, MATHEMATICAL optimization, DETECTION algorithms, ALGORITHMS, MINES & mineral resources, WAVE analysis, TIME series analysis

Clustering Mining Algorithm of Internet of Things Database Based on Python Language

Autori: Wan, Fang Liu, Ying

Zdroj: COMPUTING AND INFORMATICS; Vol. 42 No. 5 (2023): Computing and Informatics; 1136–1157

Predmety: data clustering, Internet of Things database, data mining, Python language, Data mining

Popis súboru: application/pdf

Prístupová URL adresa: https://www.cai.sk/ojs/index.php/cai/article/view/2023_5_1136

A CUSTOMER DEMAND MINING ALGORITHM BASED ON ONLINE COMMENTS AND MACHINE LEARNING.

Autori: Yong Yang Qiaoxing Li

Zdroj: International Journal of Industrial Engineering; 2025, Vol. 32 Issue 1, p237-252, 16p

Predmety: CUSTOMER satisfaction, ONLINE comments, SELF-organizing maps, ECONOMIC demand, CONSUMPTION (Economics)

A clustering mining method for sports behavior characteristics of athletes based on the ant colony optimization

Autori: Dapeng Yang Junqi Wang Jingtang He a ďalší

Zdroj: Heliyon, Vol 10, Iss 12, Pp e33297- (2024)

Predmety: Behavior characteristics of athlete, Physical training, Clustering analysis, Ant colony optimization, Machine learning, Science (General), Q1-390, Social sciences (General), H1-99

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024093289; https://doaj.org/toc/2405-8440

Prístupová URL adresa: https://doaj.org/article/849bb40b9a60468cb7e524772fe04b5f

CLUSTERING MINING ALGORITHM OF INTERNET OF THINGS DATABASE BASED ON PYTHON LANGUAGE.

Autori: Fang WAN Ying LIU

Zdroj: Computing & Informatics. 2023, Vol. 42 Issue 5, p1136-1157. 22p.

Predmety: Databases, Python programming language, Internet of things, Supervised learning, Algorithms, Data mining

Clustering mining method of large-scale network abnormal data based on selective collaborative learning

Autori: Hai’ou Zhang

Zdroj: Journal of Computational Methods in Sciences and Engineering. 23:9-21

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Clustering mining method of large-scale network abnormal data based on selective collaborative learning.

Autori: Zhang, Hai'ou

Zdroj: Journal of Computational Methods in Sciences & Engineering; 2023, Vol. 23 Issue 1, p9-21, 13p

Predmety: COLLABORATIVE learning, DATA mining, ANOMALY detection (Computer security), MACHINE learning

Evaluation of sports training methods and technical characteristics based on multi-dimensional driving fuzzy intelligent computing.

Autori: Wu, Qiong Sun, Yi Gao, Lei a ďalší

Zdroj: PLoS ONE; 6/2/2025, Vol. 20 Issue 6, p1-13, 13p

Predmety: CLUSTERING algorithms, OPTIMIZATION algorithms, MULTI-objective optimization, BADMINTON players, SCHOOL sports, HISTOGRAMS

An apple defect identification method based on improved YOLOv7-tiny. (English)

Autori: LI, Jun CAO, Botao PENG, Xindong

Zdroj: Food & Machinery; 2025, Issue 8, p100-108, 9p

Predmety: DETECTION algorithms, AUTOMATIC classification, IMAGING systems, FUZZY clustering technique, OBJECT recognition (Computer vision), FEATURE extraction, MATHEMATICAL optimization

A new clustering mining algorithm for multi-source imbalanced location data

Autori: Li Cai Yihan Zhang Yuzhong Peng a ďalší

Zdroj: Information Sciences. 584:50-64

Predmety: 11. Sustainability, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0020025521010379

Digital Twin Design of a Turbulence Inhibitor in a Tundish Based on the Production Cluster Mining Algorithm.

Autori: Wu, Jianzhou Jin, Yan Gan, Feifang a ďalší

Zdroj: Metals (2075-4701); Oct2023, Vol. 13 Issue 10, p1651, 17p

Predmety: DIGITAL twin, TURBULENCE, STEEL mills, DATA mining, ALGORITHMS

An Efficient Clustering Mining Algorithm for Indoor Moving Target Trajectory Based on the Improved AGNES

Autori: Siye Wang Chang Ding Shuang Hu a ďalší

Zdroj: 2015 IEEE Trustcom/BigDataSE/ISPA. :1318-1323

Predmety: 9. Industry and infrastructure, 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: http://dblp.uni-trier.de/db/conf/trustcom/trustcom2015-1.html#HuangDWH15
https://ieeexplore.ieee.org/document/7345432/
https://dblp.uni-trier.de/db/conf/trustcom/trustcom2015-1.html#HuangDWH15

Optimization of EMS Station Layout Based on a New Decision Support Framework.

Autori: Yang, Peng Zhang, Bozheng Yang, Jingrong

Zdroj: Systems; Feb2025, Vol. 13 Issue 2, p92, 23p

Predmety: K-means clustering, EMERGENCY medical services, CLUSTER analysis (Statistics), DECISION making, SIMULATION methods & models, AMBULANCES

Simulation on K-Means Optimum Clustering Mining Algorithm Based on Slope Classification

Autori: Si Jin Zhou Hao Jiang Shou Jian Wu

Zdroj: Advanced Materials Research. :1385-1388

Predmety: 0502 economics and business, 05 social sciences

Prístupová URL adresa: https://www.scientific.net/AMR.791-793.1385

基于耦合度量的多尺度聚类挖掘方法. (Chinese)

Alternate Title: Multi-scale Clustering Mining Method Based on Coupled Metric Similarity. (English)

Autori: 田真真 赵书良 李文斌 a ďalší

Zdroj: Journal of Data Acquisition & Processing / Shu Ju Cai Ji Yu Chu Li; May2020, Vol. 35 Issue 3, p549-562, 14p

Impact of the combination of environmental art design and computing technology on social behavior.

Autori: Cheng, Shijing Li, Wei

Zdroj: Journal of Computational Methods in Sciences & Engineering; Jan2025, Vol. 25 Issue 1, p630-643, 14p

Predmety: CLUSTERING algorithms, ECOLOGICAL art, HIERARCHICAL clustering (Cluster analysis), BEHAVIORAL assessment, DATA mining