Search Results - Clustering-mining methods and algorithms*

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

Authors: Dapeng Yang Junqi Wang Jingtang He et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/849bb40b9a60468cb7e524772fe04b5f

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

Authors: Luo, Hao Liu, Ziyu Ge, Song et al.

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

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

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

Authors: Wu, Qiong Sun, Yi Gao, Lei et al.

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

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

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

Authors: LI, Jun CAO, Botao PENG, Xindong

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

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

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

Authors: Fang WAN Ying LIU

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

Subject Terms: 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.

Authors: Zhang, Hai'ou

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

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

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

Authors: Wu, Jianzhou Jin, Yan Gan, Feifang et al.

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

Subject Terms: DIGITAL twin, TURBULENCE, STEEL mills, DATA mining, ALGORITHMS

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)

Authors: 田真真 赵书良 李文斌 et al.

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

An incremental clustering scheme for data de-duplication

Authors: Gianni Costa Giuseppe Manco Riccardo Ortale

Source: Data mining and knowledge discovery 20-0 (2010): 152–187. doi:10.1007/s10618-009-0155-0
info:cnr-pdr/source/autori:Gianni Costa; Giuseppe Manco; Riccardo Ortale/titolo:An Incremental Clustering Scheme for Data De-duplication/doi:10.1007%2Fs10618-009-0155-0/rivista:Data mining and knowledge discovery/anno:2010/pagina_da:152/pagina_a:187/intervallo_pagine:152–187/volume:20-0

Subject Terms: Locality-sensitive hashing, Min-wise independent permutations, De-duplication, Indexing methods and structures, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Clustering-mining methods and algorithms

Access URL: https://dblp.uni-trier.de/db/journals/datamine/datamine20.html#CostaMO10
https://dl.acm.org/doi/10.1007/s10618-009-0155-0
https://dialnet.unirioja.es/servlet/articulo?codigo=6453756
https://link.springer.com/content/pdf/10.1007%2Fs10618-009-0155-0.pdf
https://link.springer.com/article/10.1007%2Fs10618-009-0155-0

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

Authors: Cheng, Shijing Li, Wei

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

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

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

Authors: Yong Yang Qiaoxing Li

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

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

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

Authors: Cai, Li Wang, Haoyu Jiang, Fang et al.

Source: Information Sciences. Jan2022, Vol. 584, p50-64. 15p.

Subject Terms: *ALGORITHMS, *BIG data, *DATA mining, *SOCIAL networks, MULTISENSOR data fusion

A Multilayer Dig-Limit Approach for Reducing Ore and Profit Losses in an Open-Pit Mine Having Complex Orebody.

Authors: Yu, Zhi Shi, Xiu-Zhi Zhang, Zong-Xian et al.

Source: Rock Mechanics & Rock Engineering; Sep2024, Vol. 57 Issue 9, p7425-7441, 17p

Subject Terms: HARD rock mining, SUPERVISED learning, HEURISTIC algorithms, PROFIT & loss, ECONOMIC recovery

A Survey on Optimization Algorithms: Challenges and Future Opportunities.

Authors: Kumar, Subash Cheema, Sikander Singh

Source: International Journal of Advanced Research in Computer Science; Jan/Feb2024, Vol. 15 Issue 1, p45-51, 7p

Subject Terms: OPTIMIZATION algorithms, MATHEMATICAL optimization, MATHEMATICAL programming, METAHEURISTIC algorithms, ARTIFICIAL intelligence, MACHINE learning

Investigating impact of decision table and random forest classifier during K-mean clustering.

Authors: Hemlata

Source: AIP Conference Proceedings; 2023, Vol. 2916 Issue 1, p1-8, 8p

Subject Terms: RANDOM forest algorithms, DATA mining

Simulation of big data mixed attribute feature detection for power system intelligent operation and maintenance based on improved random forest algorithm.

Authors: Li, Ze Liu, Xiaoze Ji, Lin et al.

Source: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 44 Issue 4, p6403-6412, 10p

Subject Terms: RANDOM forest algorithms, BIG data, SUPPORT vector machines, ELECTRONIC data processing, FUZZY algorithms, FEATURE extraction, COMPUTER performance

Research on full-cycle sharing method of natural resources big data based on middle platform architecture.

Authors: Li, Qian

Source: Multimedia Tools & Applications; Aug2025, Vol. 84 Issue 27, p31901-31918, 18p

Subject Terms: NATURAL resources, BIG data, DATA integration, INFORMATION sharing, SPATIAL arrangement

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

Authors: Yang, Peng Zhang, Bozheng Yang, Jingrong

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

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

The multi-dimensional power big data mining based on improved grey clustering algorithm.

Authors: Li, Hui Lu, Guangqian

Source: Web Intelligence (2405-6456); 2023, Vol. 21 Issue 2, p203-210, 8p

Subject Terms: DATA mining, MISSING data (Statistics), COMPUTER performance, ALGORITHMS, EXPECTATION-maximization algorithms, DATA integrity, BIG data

A novel discretization algorithm based on multi-scale and information entropy.

Authors: Xun, Yaling Yin, Qingxia Zhang, Jifu et al.

Source: Applied Intelligence; 2021, Vol. 51 Issue 2, p991-1009, 19p

Subject Terms: RANDOM forest algorithms, ENTROPY (Information theory), DISCRETIZATION methods, SUPPORT vector machines, DATA mining, POINT set theory, DECISION trees