Search Results - Clustering and Pattern Detection

Approaches to Extracting Patterns of Service Utilization for Patients with Complex Conditions: Graph Community Detection vs. Natural Language Processing Clustering

Authors: Jonas Bambi Hanieh Sadri Ken Moselle et al.

Source: BioMedInformatics, Vol 4, Iss 3, Pp 1884-1900 (2024)

Subject Terms: clinical pathways, clinical practice guideline, clustering, decision support, electronic healthcare, graph community detection, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Computer applications to medicine. Medical informatics, R858-859.7

File Description: electronic resource

Relation: https://www.mdpi.com/2673-7426/4/3/103; https://doaj.org/toc/2673-7426

Access URL: https://doaj.org/article/2c83e687207d4a1fad44b1a30009ce37

Exploração de diferentes técnicas de machine learning para a deteção de padrões de consumo de água

Exploring different machine learning techniques for detection of water consumption patterns

Authors: Bastos, João Miguel Novais e Ferreira, Flora José Rocha Bicho, Estela et al.

Contributors: Bastos, João Miguel Novais e Ferreira, Flora José Rocha Bicho, Estela et al.

Source: urn:tid:203610261

Subject Terms: Clustering, Machine Learning, Padrões de consumo, Pré-processamento de dados, Séries temporais, Consumption patterns, Data preprocessing, Time series

File Description: application/pdf

Availability: https://hdl.handle.net/1822/92359

Distributed-Swarm: A Real-Time Pattern Detection Model Based on Density Clustering

Authors: Tiao Qian Shiming Sun Xin Shan et al.

Source: IEEE Access, Vol 10, Pp 59832-59842 (2022)

Subject Terms: Power data, real-time processing, pattern detection, distributed computing, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/9785784/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/601e10f2c2b841db8af372ac7f8010aa

A novel approach for cluster detection in trajectory data with low cluster-to-noise density ratio.

Authors: Fang, Zidong Pei, Tao Liu, Xiaohan et al.

Source: International Journal of Geographical Information Science. Dec2025, Vol. 39 Issue 12, p2738-2767. 30p.

Subject Terms: Spatial behavior, Outlier detection, Probability density function, Spatial data structures, Pattern perception

DEVICE AND METHOD FOR WAFER MAP PATTERN DETECTION USING HIERARCHICAL CLUSTERING

Density Based Spatial Clustering of Applications and Spatial Pattern Analysis In Mapping the Distribution of ISPA Disease in Bireuen Regency

Authors: Mutammimul Ula Tsania Asha Fadilah Daulay Richki Hardi et al.

Source: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 7, Iss 3, Pp 733-742 (2023)

Subject Terms: clustering, ispa, dbcan, mapping, distribution pattern detection, Systems engineering, TA168, Information technology, T58.5-58.64

File Description: electronic resource

Relation: http://jurnal.iaii.or.id/index.php/RESTI/article/view/4936; https://doaj.org/toc/2580-0760

Access URL: https://doaj.org/article/15a6c57a66f74cab9a185e2460a52294

Pattern Detection of Economic and Pandemic Vulnerability Index in Indonesia Using Bi-Cluster Analysis

Authors: Wiwik Andriyani Lestari Ningsih I Made Sumertajaya Asep Saefuddin

Source: Jurnal Informatika, Vol 10, Iss 2, Pp 273-282 (2022)

Subject Terms: bi-clustering, iterative signature algorithm, liu and wang index, mean square residue, pattern detection, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://jurnalnasional.ump.ac.id/index.php/JUITA/article/view/14940; https://doaj.org/toc/2086-9398; https://doaj.org/toc/2579-8901

Access URL: https://doaj.org/article/576f2eb83e914a9c85fdc91b7083a4eb

A system for crack pattern detection, characterization and diagnosis in concrete structures by means of image processing and machine learning techniques

Authors: Sánchez Calderón, Luis Alberto

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental

Thesis Advisors: Bairán García, Jesús Miguel

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Enginyeria civil

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/461408
https://dx.doi.org/10.5821/dissertation-2117-113990

Data Curves Clustering Using Common Patterns Detection

Authors: Xylogiannopoulos, Konstantinos F.

Index Terms: Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2001.02095

Abnormal motion pattern detection in video sequences by an unsupervised approach

Authors: Himal Acharya Basanta Joshi

Source: Engineering and Applied Science Research, Vol 48, Iss 5, Pp 509-517 (2021)

Subject Terms: anomaly detection, dense trajectories, hierarchical clustering, motion pattern, surveillance video, Technology, Technology (General), T1-995

File Description: electronic resource

Relation: https://ph01.tci-thaijo.org/index.php/easr/article/download/241494/166479/; https://doaj.org/toc/2539-6161; https://doaj.org/toc/2539-6218

Access URL: https://doaj.org/article/29ff0e7ccd8f47819de309a090d77805

Proposed Feature Selection Technique for Pattern Detection in Patients with Pneumonia Records.

Authors: Orlando Gil Jauregui, Jesus Carmen Cruzatti, Angel Gerardo Cano Lengua, Miguel Angel et al.

Source: International Journal of Online & Biomedical Engineering. 2024, Vol. 20 Issue 7, p69-89. 21p.

Subject Terms: Feature selection, K-means clustering, COVID-19 pandemic, Health insurance, Medical care

Geographic Terms: Peru, Lima (Peru)

Consumption Pattern Detection Through the Use of Machine Learning : Clustering Techniques for Non-Technical Losses Detection RERORT

Authors: Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica Aragüés Peñalba, Mònica Jené Vinuesa, Marc et al.

Index Terms: Àrees temàtiques de la UPC::Energies::Gestió de l'energia::Demanda i consum energètics, Energy consumption, Machine learning, Energia -- Consum, Aprenentatge automàtic, Master thesis

URL: http://hdl.handle.net/2117/332789

Enhancing patient rehabilitation predictions with a hybrid anomaly detection model: Density‐based clustering and interquartile range methods

Authors: Murad Ali Khan Jong‐Hyun Jang Naeem Iqbal et al.

Source: CAAI Transactions on Intelligence Technology, Vol 10, Iss 4, Pp 983-1006 (2025)

Subject Terms: anomaly detection, deep learning, density‐based clustering, hybrid model, IQR, regression, Computational linguistics. Natural language processing, P98-98.5, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://doaj.org/toc/2468-2322

Access URL: https://doaj.org/article/bbf0f0bc82564d108d24400d35bf8e21

Anomaly Detection in Portuguese Public Procurement Contracts: An Embedding-Based Machine Learning Approach

Authors: Silva, Ana Rita Saraiva da Damásio, Bruno Miguel Pinto Pinheiro, Flávio Luís Portas et al.

Contributors: Silva, Ana Rita Saraiva da Damásio, Bruno Miguel Pinto Pinheiro, Flávio Luís Portas et al.

Subject Terms: Public Procurement, Anomaly Detection, Unsupervised Learning, Embeddings, Clustering, SDG 8 - Decent work and economic growth, SDG 9 - Industry, innovation and infrastructure, SDG 12 - Responsible production and consumption, SDG 16 - Peace, justice and strong institutions, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

File Description: application/pdf

Availability: http://hdl.handle.net/10362/190127

A novel machine learning approach to analyzing geospatial vessel patterns using AIS data

Authors: Martha Dais Ferreira Jessica N.A. Campbell Stan Matwin

Source: GIScience & Remote Sensing, Vol 59, Iss 1, Pp 1473-1490 (2022)

Subject Terms: ais, clustering, anomaly detection, pattern detection, time-series, Mathematical geography. Cartography, GA1-1776, Environmental sciences, GE1-350

File Description: electronic resource

Relation: https://doaj.org/toc/1548-1603; https://doaj.org/toc/1943-7226

Access URL: https://doaj.org/article/8c92a2bcbfdf4b9c9d52250f9eae1578

Electromagnetic Wave Pattern Detection with Multiple Sensors in the Manufacturing Field

Authors: Akio HASEGAWA Ayano OHNISHI Hiroyuki YOKOYAMA et al.

Source: IEICE Transactions on Communications. 2023, E106.B(2):109

Pattern Detection in Abnormal District Heating Data

Authors: Mbiydzenyuy, Gideon Sundell, Håkan

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-33427
https://doi.org/10.1007/978-3-031-82481-4_16

Recurrent neural network with density-based clustering for group pattern detection in energy systems

Authors: Djenouri, Youcef Belhadi, Asma Lin, Jerry Chun-Wei

Availability: https://hdl.handle.net/11250/3055128

Microbial community pattern detection in human body habitats via ensemble clustering framework

Authors: Yang, Peng Su, Xiaoquan Ou-Yang, Le et al.

Index Terms: Quantitative Biology - Quantitative Methods, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Machine Learning, Quantitative Biology - Genomics, text

URL: http://arxiv.org/abs/1412.7384

Dynamic order Markov model for categorical sequence clustering

Authors: Rongbo Chen Haojun Sun Lifei Chen et al.

Source: Journal of Big Data, Vol 8, Iss 1, Pp 1-25 (2021)

Subject Terms: Sparse pattern, Pattern detection, Dynamic order Markov model, Categorical sequence clustering, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2196-1115

Access URL: https://doaj.org/article/0dc3096f372f40bfaf8380e4eb0b081e