Výsledky vyhľadávania - "evolving clustering"

EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data

Autori: Angelova, Milena Boeva, Veselka Abghari, Shahrooz

Zdroj: 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). :1-10

Predmety: Concept drifts, Clustering algorithms, Digital storage, Clustering model, Computer Sciences, Computational capacity, Storage capacity, data mining, concept drift, smart monitoring, Computational efficiency, Limited storage, Datavetenskap (datalogi), evolving clustering, Streaming data, Resource aware, Resource-efficient

Popis súboru: application/pdf

Prístupová URL adresa: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-26789

Mining Evolving and Heterogeneous Data: Cluster-based Analysis Techniques

Autori: Devagiri, Vishnu Manasa Boeva, Veselka, Professor Lavesson, Niklas, Professor a ďalší

Prispievatelia: Devagiri, Vishnu Manasa Boeva, Veselka, Professor Lavesson, Niklas, Professor a ďalší

Zdroj: Blekinge Institute of Technology Doctoral Dissertation Series.

Predmety: Domain Adaptation, Evolving Clustering, Heterogeneous Data, Multi-View Clustering, Streaming Data, Datavetenskap, Computer Science

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26098
https://bth.diva-portal.org/smash/get/diva2:1850201/FULLTEXT01.pdf

Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes

Autori: Goran Andonovski Edwin Lughofer Igor Skrjanc

Zdroj: IEEE Access, Vol 9, Pp 158470-158480 (2021)

Predmety: evolving clustering, Data stream, neuro-fuzzy models, 0202 electrical engineering, electronic engineering, information engineering, filtered recursive least squares identification, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627144.pdf
https://doaj.org/article/ed74ef7770dc42938980224ce5cdc4c5
https://ieeexplore.ieee.org/document/9627144/

A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning and Extended Mobility Features for VANETs

Autori: Mohammed Saad Talib Aslinda Hassan Thamer Alamery a ďalší

Zdroj: IEEE Access, Vol 8, Pp 169908-169921 (2020)

Predmety: Artificial intelligence, Social Sciences, Geometry, Transportation, Vehicular Ad Hoc Networks, 02 engineering and technology, center-based clustering, Intelligent Transportation Systems, FOS: Economics and business, Internet of Vehicles, Engineering, Cluster analysis, Market segmentation, Machine learning, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Business, Electrical and Electronic Engineering, Grid, CURE data clustering algorithm, Stability (learning theory), Data mining, Marketing, Vehicular ad hoc networks, VANETs clustering, grid based-clustering, VANET Security, Correlation clustering, Traffic Flow Prediction and Forecasting, Building and Construction, Computer science, TK1-9971, evolving clustering, Physical Sciences, Vehicular Ad Hoc Networks and Communications, Transportation Modes, Electrical engineering. Electronics. Nuclear engineering, Consistency (knowledge bases), Mathematics, Understanding Human Mobility Patterns

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09181523.pdf
https://doaj.org/article/14d8128f797b49859a1f093a66b1d671
https://dblp.uni-trier.de/db/journals/access/access8.html#TalibHAAMIA20
https://ieeexplore.ieee.org/document/9181523/

Indonesian Online News Extraction and Clustering Using Evolving Clustering

Autori: Muhammad Alfian Ali Ridho Barakbah Idris Winarno

Zdroj: JOIV: International Journal on Informatics Visualization, Vol 5, Iss 3, Pp 280-290 (2021)

Predmety: evolving clustering, incremental clustering, news extraction, stemming., Computer software, QA76.75-76.765

Popis súboru: electronic resource

Relation: https://joiv.org/index.php/joiv/article/view/537; https://doaj.org/toc/2549-9610; https://doaj.org/toc/2549-9904

Prístupová URL adresa: https://doaj.org/article/78e1ca76a92c4c5c8bb985363511e403

K-boyutlu ağaç ve uyarlanabilir yarıçap (KD-AR Stream) tabanlı gerçek zamanlı akan veri kümeleme

Autori: Ali ŞENOL Hacer KARACAN

Zdroj: Volume: 35, Issue: 1 337-354
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
Journal of the Faculty of Engineering and Architecture of Gazi University

Predmety: Akan veri kümeleme, k-boyutlu ağaç, uyarlanabilir yarıçap, tamamen çevrimiçi, evrimsel kümeleme, Data stream clustering, kd-tree, adaptive radius, fully online, evolving clustering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/download/article-file/839690
https://app.trdizin.gov.tr/makale/TXprd01UTTNOdz09/k-boyutlu-agac-ve-uyarlanabilir-yaricap-kd-ar-stream-tabanli-gercek-zamanli-akan-veri-kumeleme
https://dergipark.org.tr/tr/download/article-file/839690
https://dergipark.org.tr/tr/pub/gazimmfd/issue/49690/467226
https://dergipark.org.tr/tr/pub/gazimmfd/issue/49690/467226

Depth-image segmentation based on evolving principles for 3D sensing of structured indoor environments

Autori: Antić, Miloš Zdešar, Andrej Škrjanc, Igor

Zdroj: Sensors, vol. 21, no. 13, 4395, 2021. ; ISSN: 1424-8220

Predmety: depth sensor, line extraction, flat surface extraction, evolving clustering, machine vision, smart sensors, globinski senzorji, ekstrakcija daljic, ekstrakcija ravnih površin, samorazvijajoče se rojenje, strojni vid, pametni senzorji, info:eu-repo/classification/udc/681.5:004

Popis súboru: application/pdf; text/url

Relation: info:eu-repo/grantAgreement/ARRS//P2-0219; https://plus.cobiss.net/cobiss/si/sl/bib/74209795

Dostupnosť: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=135600
https://repozitorij.uni-lj.si/Dokument.php?id=154767&dn=
https://repozitorij.uni-lj.si/Dokument.php?id=154766&dn=
https://plus.cobiss.net/cobiss/si/sl/bib/74209795
https://hdl.handle.net/20.500.12556/RUL-135600

Online System Prognostics with Ensemble Models and Evolving Clustering

Autori: Fling Tseng Dimitar Filev Murat Yildirim a ďalší

Zdroj: Machines, Vol 11, Iss 40, p 40 (2022)

Predmety: system prognostics, evolving clustering, survivability estimation, remaining useful life estimation, Mechanical engineering and machinery, TJ1-1570

Relation: https://www.mdpi.com/2075-1702/11/1/40; https://doaj.org/toc/2075-1702; https://doaj.org/article/60f414b2aa774b10a505b0e11afb9aa9

Dostupnosť: https://doi.org/10.3390/machines11010040
https://doaj.org/article/60f414b2aa774b10a505b0e11afb9aa9

Evolving Gaussian on-line clustering in social network analysis

Autori: Škrjanc, Igor Andonovski, Goran Iglesias Martínez, José Antonio a ďalší

Zdroj: Expert systems with applications, vol. 207, no. 117881, 2022. ; ISSN: 0957-4174

Predmety: evolving clustering, Twitter data analysis, online method, Gaussian probability, samorazvijajoče se rojenje, analiza Twitter podatkov, sprotna metoda, Gaussova verjetnost, info:eu-repo/classification/udc/681.5

Popis súboru: application/pdf; text/url

Relation: https://plus.cobiss.net/cobiss/si/sl/bib/112620547

Dostupnosť: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=139603
https://repozitorij.uni-lj.si/Dokument.php?id=160189&dn=
https://repozitorij.uni-lj.si/Dokument.php?id=160188&dn=
https://plus.cobiss.net/cobiss/si/sl/bib/112620547
https://hdl.handle.net/20.500.12556/RUL-139603

Depth-Image Segmentation Based on Evolving Principles for 3D Sensing of Structured Indoor Environments

Autori: Miloš Antić Andrej Zdešar Igor Škrjanc

Zdroj: Sensors, Vol 21, Iss 13, p 4395 (2021)

Predmety: depth sensor, line extraction, flat surface extraction, evolving clustering, machine vision, smart sensor, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/21/13/4395; https://doaj.org/toc/1424-8220; https://doaj.org/article/2556052bb43b4be2b8550ed1c65b9318

Dostupnosť: https://doi.org/10.3390/s21134395
https://doaj.org/article/2556052bb43b4be2b8550ed1c65b9318

Evolving Gaussian on-line clustering in social network analysis

Autori: Igor Škrjanc Goran Andonovski José Antonio Iglesias a ďalší

Prispievatelia: Igor Škrjanc Goran Andonovski José Antonio Iglesias a ďalší

Zdroj: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)

Predmety: Evolving clustering, Informática, 0209 industrial biotechnology, samorazvijajoče se rojenje, 02 engineering and technology, Gaussova verjetnost, online method, Online method, Twitter data analysis, analiza Twitter podatkov, evolving clustering, sprotna metoda, Gaussian probability, 0202 electrical engineering, electronic engineering, information engineering

Popis súboru: application/pdf; text/url

Prístupová URL adresa: https://hdl.handle.net/10016/37148

Confidence in signal reconstruction by the Evolving Clustering Method

Autori: ZIO, ENRICO BARALDI, PIERO W. Zhao a ďalší

Prispievatelia: ZIO, ENRICO BARALDI, PIERO W. Zhao a ďalší

Zdroj: 2011 Prognostics and System Health Managment Confernece. :1-7

Predmety: confidence measure, [SPI.OTHER] Engineering Sciences [physics]/Other, condition monitoring, 0202 electrical engineering, electronic engineering, information engineering, signal reconstruction, 02 engineering and technology, evolving clustering method

Popis súboru: application/pdf

Prístupová URL adresa: http://hal-ecp.archives-ouvertes.fr/docs/00/65/80/72/PDF/ANNO_2011_4.pdf
https://centralesupelec.hal.science/hal-00658072v1/document
https://centralesupelec.hal.science/hal-00658072v1
https://doi.org/10.1109/phm.2011.5939535
https://hal-supelec.archives-ouvertes.fr/hal-00658072
https://ieeexplore.ieee.org/document/5939535/
https://hal-supelec.archives-ouvertes.fr/hal-00658072/document
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005939535

Evolving Gustafson-kessel Possibilistic c-Means Clustering

Autori: Igor Škrjanc Dejan Dovžan

Zdroj: Procedia Computer Science. 53:191-198

Predmety: Evolving Clustering, Stream data, Evolving Classifier, eGKPCM, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Big-data clustering

Prístupová URL adresa: https://core.ac.uk/display/81932868
https://www.sciencedirect.com/science/article/pii/S1877050915017974

A Nested Hierarchy of Dynamically Evolving Clouds for Big Data Structuring and Searching

Autori: Angelov, Plamen Sadeghi Tehran, Pouria

Zdroj: Procedia Computer Science. 53:1-8

Predmety: dynamically evolving hierarchy of data clouds, content-based image retrieval, evolving clustering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, recursive density estimation

Popis súboru: application/pdf

Prístupová URL adresa: https://eprints.lancs.ac.uk/74591/
https://www.sciencedirect.com/science/article/pii/S1877050915017767
http://www.sciencedirect.com/science/article/pii/S1877050915017767
https://core.ac.uk/display/82327779
https://eprints.lancs.ac.uk/id/eprint/74591/

A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks

Autori: ALIPPI, CESARE ROVERI, MANUEL TROVO', FRANCESCO

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 25:1021-1032

Predmety: Big Data, distributed sensors, fault diagnosis, pattern clustering, unsupervised learning, Big Data framework, adaptive learning, cluster-based cognitive fault diagnosis system, clustering algorithm, information content, invariant linear models, nonlinear dynamic systems, parameter space, parameter vectors, self-building-based cognitive fault diagnosis system, sensor networks, unsupervised clustering-labeling method, Adaptation models, Circuit faults, Clustering algorithms, Dictionaries, Training, Vectors, evolving clustering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Popis súboru: application/pdf

Prístupová URL adresa: https://ieeexplore.ieee.org/document/6781624/
http://dblp.uni-trier.de/db/journals/tnn/tnn25.html#AlippiRT14
https://dblp.uni-trier.de/db/journals/tnn/tnn25.html#AlippiRT14
https://hdl.handle.net/11311/866935
https://doi.org/10.1109/TNNLS.2014.2303651

Vertex-centred Method to Detect Communities in Evolving Networks

Autori: Canu, Maël Lesot, Marie-Jeanne Revault d'Allonnes, Adrien a ďalší

Prispievatelia: Canu, Maël Lesot, Marie-Jeanne Revault d'Allonnes, Adrien a ďalší

Zdroj: Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016) ; Fifth International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016) ; https://hal.sorbonne-universite.fr/hal-01402989 ; Fifth International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), Nov 2016, Milan, Italy. pp.275-286

Predmety: Graph Clustering, Graph Algorithms, Complex network analysis, Complex networks, Evolving Clustering Methods, Temporal networks, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.2: Graph Theory/G.2.2.0: Graph algorithms, ACM: G.: Mathematics of Computing/G.2: DISCRETE MATHEMATICS/G.2.2: Graph Theory/G.2.2.3: Network problems, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]

Geografické téma: Milan, Italy

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1611.08484; ARXIV: 1611.08484

Dostupnosť: https://hal.sorbonne-universite.fr/hal-01402989
https://hal.sorbonne-universite.fr/hal-01402989v1/document
https://hal.sorbonne-universite.fr/hal-01402989v1/file/article_cn16_version_hal.pdf

Vertex-centred Method to Detect Communities in Evolving Networks

Autori: Adrien Revault d'Allonnes Maël Canu Marie-Jeanne Lesot a ďalší

Prispievatelia: Adrien Revault d'Allonnes Maël Canu Marie-Jeanne Lesot a ďalší

Zdroj: Studies in Computational Intelligence ISBN: 9783319509006

Predmety: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Graph Clustering, Physics - Physics and Society, Discrete Mathematics (cs.DM), [INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI], Complex networks, FOS: Physical sciences, Temporal networks, Computer Science - Social and Information Networks, Graph Algorithms, 02 engineering and technology, Physics and Society (physics.soc-ph), [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], 0202 electrical engineering, electronic engineering, information engineering, Evolving Clustering Methods, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Complex network analysis, Computer Science - Discrete Mathematics

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/pdf/1611.08484
http://arxiv.org/abs/1611.08484
https://hal.sorbonne-universite.fr/hal-01402989v1
https://hal.sorbonne-universite.fr/hal-01402989v1/document
https://arxiv.org/abs/1611.08484
https://link.springer.com/chapter/10.1007/978-3-319-50901-3_22
https://dblp.uni-trier.de/db/journals/corr/corr1611.html#CanuLd16
https://rd.springer.com/chapter/10.1007/978-3-319-50901-3_22
http://hal.upmc.fr/hal-01402989
https://link.springer.com/content/pdf/10.1007%2F978-3-319-50901-3_22.pdf

Large scale nuclear sensor monitoring and diagnostics by means of an ensemble of regression models based on Evolving Clustering Methods

Autori: Gola, Giulio Roverso, Davide Hoffmann, Mario a ďalší

Prispievatelia: Gola, Giulio Roverso, Davide Hoffmann, Mario a ďalší

Zdroj: PSAM10, 10th International Probabilistic Safety Assessment & Management, Seattle USA ; https://hal.science/hal-00720974 ; PSAM10, 10th International Probabilistic Safety Assessment & Management, Seattle USA, 2010, pp.1-10

Predmety: Evolving Clustering Methods, Sensor monitoring, Signal reconstruction, Ensemble, [SPI.OTHER]Engineering Sciences [physics]/Other

Dostupnosť: https://hal.science/hal-00720974
https://hal.science/hal-00720974v1/document
https://hal.science/hal-00720974v1/file/ANNO_2010_2.pdf

Large scale nuclear sensor monitoring and diagnostics by means of an ensemble of regression models based on Evolving Clustering Methods

Autori: G. Gola D. Roverso M. Hoffmann a ďalší

Prispievatelia: G. Gola D. Roverso M. Hoffmann a ďalší

Predmety: [SPI.OTHER]Engineering Sciences [physics]/Other, Evolving Clustering Methods, [SPI.OTHER] Engineering Sciences [physics]/Other, Sensor monitoring, Ensemble, Signal reconstruction

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-00720974v1
https://hdl.handle.net/11311/581712

ECM - A Novel On-line, Evolving Clustering Method and Its Applications

Autori: Qun Song Nikola Kasabov The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Qun Song Nikola Kasabov The Pennsylvania State University CiteSeerX Archives

Zdroj: http://divcom.otago.ac.nz/infosci/kel/CBIIS/pubs/ps-gz/QS2001_36.ps.gz.

Predmety: method- ECM, Evolving Clustering Method, is

Popis súboru: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.3108

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.3108
http://divcom.otago.ac.nz/infosci/kel/CBIIS/pubs/ps-gz/QS2001_36.ps.gz