Suchergebnisse - "Mining methods and algorithms"

Data Mining - methods and algorithms, summary

Autoren: Olga V. Fridman

Quelle: Transaction Kola Science Centre. 12:91-103

Using Subgroup Discovery to Relate Odor Pleasantness and Intensity to Peripheral Nervous System Reactions

Autoren: Maëlle Moranges Marc Plantevit Moustafa Bensafi et al.

Weitere Verfasser: Maëlle Moranges Marc Plantevit Moustafa Bensafi et al.

Quelle: IEEE Transactions on Affective Computing. 14:2005-2019

Schlagwörter: 03 medical and health sciences, Pattern analysis, 0302 clinical medicine, Mining methods and algorithms, Physiological measures, [SCCO] Cognitive science, [INFO] Computer Science [cs], 3. Good health

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-03787352v1
https://doi.org/10.1109/taffc.2022.3173403
https://hal.science/hal-03787352v1/document

Uporaba metod in algoritmov podatkovnega rudarjenja za ocenjevanje kreditnega tveganja ; The use of data mining methods and algorithms for credit risk assessment: an example of peer-to-peer marketplace lending

Autoren: Pintarič, Peter Lončarski, Igor

Weitere Verfasser: Pintarič, Peter Lončarski, Igor

Schlagwörter: bančništvo, kreditiranje, kreditna sposobnost, boniteta, ocene, podatki, rudarjenje podatkov, algoritmi, metode, case study, Lending Club, banking, crediting, credit rating, reliability, evaluation, data, data mining, algorithms, methods, info:eu-repo/classification/udc/004.6

Dateibeschreibung: text/url

Relation: https://plus.cobiss.net/cobiss/si/sl/bib/25395942

Verfügbarkeit: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=113992
https://repozitorij.uni-lj.si/Dokument.php?id=126105&dn=
https://plus.cobiss.net/cobiss/si/sl/bib/25395942
https://hdl.handle.net/20.500.12556/RUL-113992

Detecting and repairing anomaly patterns in business process event logs

Autoren: Ko, Jonghyeon orcid:0000-0002-8322-8056 Comuzzi, Marco et al.

Weitere Verfasser: Ko, Jonghyeon orcid:0000-0002-8322-8056 Comuzzi, Marco et al.

Quelle: Data and Knowledge Engineering

Schlagwörter: Anomaly pattern, Anomaly reconstruction, Business process, Event log quality, Mining methods and algorithms

Relation: https://eprints.qut.edu.au/259369/

Verfügbarkeit: https://doi.org/10.1016/j.datak.2025.102488
https://eprints.qut.edu.au/259369/

Cost-sensitive decision tree with multiple resource constraints

Autoren: Wu, Chia-Chi Chen, Yen-Liang Tang, Kwei

Quelle: Applied Intelligence. 49:3765-3782

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, Data mining, Machine Learning, Decision tree, Cost-sensitive learning, 02 engineering and technology, Cost-sensitive learning, mining methods and algorithms, decision trees

Zugangs-URL: https://link.springer.com/article/10.1007/s10489-019-01464-x
https://doi.org/10.1007/s10489-019-01464-x
https://scholars.ncu.edu.tw/zh/publications/cost-sensitive-decision-tree-with-multiple-resource-constraints
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201902244731696600
https://dblp.uni-trier.de/db/journals/apin/apin49.html#WuCT19
http://www.krannert.purdue.edu/programs/phd/Working-papers-series/2010/1263.pdf

Behavior Action Mining

Autoren: Peng Su Daniel Zeng Huimin Zhao

Quelle: IEEE Access, Vol 7, Pp 19954-19964 (2019)

Schlagwörter: decision support, 0202 electrical engineering, electronic engineering, information engineering, knowledge and data engineering tools and techniques, Business, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, mining methods and algorithms, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08629898.pdf
https://doaj.org/article/2e4d26c4a3214455b5fa7a1ed41aa20b
https://ieeexplore.ieee.org/document/8629898/
https://dblp.uni-trier.de/db/journals/access/access7.html#SuZZ19
https://doi.org/10.1109/ACCESS.2019.2896141
https://arizona.pure.elsevier.com/en/publications/behavior-action-mining

Boosting Discrimination Information Based Document Clustering Using Consensus and Classification

Autoren: Ahmad Muqeem Sheri Muhammad Aasim Rafique Malik Tahir Hassan et al.

Quelle: IEEE Access, Vol 7, Pp 78954-78962 (2019)

Schlagwörter: evidence combination, discrimination information, 0202 electrical engineering, electronic engineering, information engineering, Consensus clustering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, knowledge reuse, mining methods and algorithms, document clustering, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08737935.pdf
https://doaj.org/article/db4770f475c04ad3ae8f316c0a6eace7
https://dblp.uni-trier.de/db/journals/access/access7.html#SheriRHJJ19
https://ieeexplore.ieee.org/document/8737935/

Target-Based, Privacy Preserving, and Incremental Association Rule Mining

Autoren: Madhu V. Ahluwalia Aryya Gangopadhyay Zhiyuan Chen et al.

Quelle: IEEE Transactions on Services Computing. 10:633-645

Schlagwörter: integrity, 0202 electrical engineering, electronic engineering, information engineering, data mining, security, UMBC Ebiquity Research Group, 02 engineering and technology, Association rules, mining methods and algorithms, protection

Zugangs-URL: https://mdsoar.org/bitstream/11603/11813/1/807.pdf
https://dblp.uni-trier.de/db/journals/tsc/tsc10.html#AhluwaliaGCY17
https://ieeexplore.ieee.org/document/7284705/
https://ebiquity.umbc.edu/paper/html/id/748/Target-Based-Privacy-Preserving-and-Incremental-Association-Rule-Mining
https://mdsoar.org/bitstream/11603/11813/1/807.pdf
https://mdsoar.org/handle/11603/11813?show=full
https://ebiquity.umbc.edu/get/a/publication/807.pdf

Identifying At-Risk Students for Early Interventions—A Time-Series Clustering Approach

Autoren: Hung, Jui-Long Wang, Morgan C. Wang, Shuyan et al.

Quelle: IEEE Transactions on Emerging Topics in Computing. 5:45-55

Schlagwörter: classification and association rules, 4. Education, 05 social sciences, mining methods and algorithms, LMS, Clustering, association rules, Instructional Media Design, classification, 13. Climate action, time-series analysis, and association rules, predictive modeling, feature extraction or construction, 0503 education, clustering

Zugangs-URL: https://works.bepress.com/andy_hung/32/
http://ieeexplore.ieee.org/document/7339455
https://ieeexplore.ieee.org/document/7339455/
https://aquila.usm.edu/fac_pubs/17786/
https://www.computer.org/csdl/journal/ec/2017/01/07339455/13rRUytWFdc
https://dblp.uni-trier.de/db/journals/tetc/tetc5.html#HungWWALH17

A Unifying Framework for Mining Approximate Top- $k$ Binary Patterns

Autoren: LUCCHESE, Claudio ORLANDO, Salvatore Raffaele Perego

Quelle: IEEE transactions on knowledge and data engineering
26 (2014): 2900–2913. doi:10.1109/TKDE.2013.181
info:cnr-pdr/source/autori:Lucchese C.; Orlando S.; Perego R./titolo:A Unifying Framework for Mining Approximate Top-k Binary Patterns/doi:10.1109%2FTKDE.2013.181/rivista:IEEE transactions on knowledge and data engineering (Print)/anno:2014/pagina_da:2900/pagina_a:2913/intervallo_pagine:2900–2913/volume:26

Schlagwörter: communities in bipartite networks, Mining methods and algorithms, approximate top-k patterns, 0202 electrical engineering, electronic engineering, information engineering, MDL, Mining methods and algorithms, 0-1 data, approximate top-k patterns, communities in bipartite networks, MDL CLOSED ITEMSETS, 02 engineering and technology, 0-1 data

Dateibeschreibung: application/pdf

Zugangs-URL: http://dblp.uni-trier.de/db/journals/tkde/tkde26.html#LuccheseOP14
https://iris.unive.it/handle/10278/43939
https://doi.ieeecomputersociety.org/10.1109/TKDE.2013.181
http://ieeexplore.ieee.org/document/6682889/
https://www.computer.org/csdl/trans/tk/preprint/06682889.html
https://dblp.uni-trier.de/db/journals/tkde/tkde26.html#LuccheseOP14

Parallel Frequent Item Set Mining with Selective Item Replication

Autoren: Ozkural, Eray Aykanat, Cevdet Uçar, Bora et al.

Weitere Verfasser: Ozkural, Eray Aykanat, Cevdet Uçar, Bora et al.

Quelle: IEEE Transactions on Parallel and Distributed Systems

Schlagwörter: Frequent item set mining, Data replication, Graph partitioning by vertex separato, 02 engineering and technology, Selective Data Replication, Mining Methods And Algorithms, Graph Partitioning By Vertex Separator, Mining methods and algorithms, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Selective data replication, graph partitioning by vertex separator, Parallel Data Mining, selective data replication, mining methods and algorithms, Frequent Item Set Mining, Graph theory, Graph Partitioning, frequent item set mining, Separators, Frequent Itemsets, Algorithms, Parallel data mining

Dateibeschreibung: application/pdf

Zugangs-URL: http://repository.bilkent.edu.tr/bitstream/11693/21884/1/Parallel%20frequent%20item%20set%20mining%20with%20selective%20item%20replication.pdf
https://inria.hal.science/hal-00786549v1
https://doi.org/10.1109/tpds.2011.32
https://hal.inria.fr/hal-00786549
https://dblp.uni-trier.de/db/journals/tpds/tpds22.html#OzkuralUA11
https://ieeexplore.ieee.org/document/5703072/
http://doi.ieeecomputersociety.org/10.1109/TPDS.2011.32
https://dl.acm.org/doi/10.1109/TPDS.2011.32
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005703072
https://hdl.handle.net/11693/12129
https://hdl.handle.net/11693/21884
https://aperta.ulakbim.gov.tr/record/21341
https://aperta.ulakbim.gov.tr/record/109011

Temporal expression extraction with extensive feature type selection and a posteriori label adjustment

Autoren: Filannino, Michele Nenadic, Goran

Quelle: Filannino, M & Nenadic, G 2015, 'Temporal expression extraction with extensive feature type selection and a posteriori label adjustment', Data & Knowledge Engineering, vol. 100, no. A, pp. 19-33. https://doi.org/10.1016/j.datak.2015.09.002

Schlagwörter: Information Systems and Management, Text mining, Mining methods and algorithms, 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Data mining, 01 natural sciences, 0105 earth and related environmental sciences

Zugangs-URL: https://research.manchester.ac.uk/en/publications/4f946106-37c0-4127-8426-60c9219f832d
https://doi.org/10.1016/j.datak.2015.09.002
https://cyberleninka.org/article/n/1336993
https://www.research.manchester.ac.uk/portal/en/publications/temporal-expression-extraction-with-extensive-feature-type-selection-and-a-posteriori-label-adjustment(4f946106-37c0-4127-8426-60c9219f832d).html
https://dblp.uni-trier.de/db/journals/dke/dke100.html#FilanninoN15
https://www.sciencedirect.com/science/article/pii/S0169023X15000725
https://www.sciencedirect.com/science/article/abs/pii/S0169023X15000725

Efficient community identification and maintenance at multiple resolutions on distributed datastores

Autoren: Hidayet Aksu Mustafa Canim Yuan-Chi Chang et al.

Weitere Verfasser: Hidayet Aksu Mustafa Canim Yuan-Chi Chang et al.

Quelle: Data & Knowledge Engineering

Schlagwörter: Distributed databases, Social networking, k-Core, Global warming, 02 engineering and technology, Websites, Big data analytics, 01 natural sciences, Mining, Smartphones, Big data, Mining methods and algorithms, HBase, 13. Climate action, Data analytics, 11. Sustainability, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Community identification, Algorithms

Dateibeschreibung: application/pdf

Zugangs-URL: http://manuscript.elsevier.com/S0169023X15000348/pdf/S0169023X15000348.pdf
https://core.ac.uk/display/52938806
https://www.sciencedirect.com/science/article/pii/S0169023X15000348
https://dblp.uni-trier.de/db/journals/dke/dke100.html#AksuCCKU15
https://hdl.handle.net/11693/28419
https://aperta.ulakbim.gov.tr/record/78935

Pattern-Aided Regression Modeling and Prediction Model Analysis

Autoren: Dong, Guozhu Taslimitehrani, Vahid

Quelle: IEEE Transactions on Knowledge and Data Engineering. 27:2452-2465

Schlagwörter: Databases and Information Systems, Bioinformatics, Computer Sciences, Communication, OS and Networks, Life Sciences, Correlation and Regression Analysis, Social and Behavioral Sciences, Science and Technology Studies, 7. Clean energy, 01 natural sciences, Mining Methods and Algorithms, 13. Climate action, Communication Technology and New Media, Physical Sciences and Mathematics, Data Mining, Model Validation and Analysis, Error Analysis, 0101 mathematics

Zugangs-URL: https://dblp.uni-trier.de/db/conf/icde/icde2016.html#DongT16
http://doi.ieeecomputersociety.org/10.1109/ICDE.2016.7498398
http://dblp.uni-trier.de/db/conf/icde/icde2016.html#DongT16
https://www.computer.org/csdl/proceedings/icde/2016/2020/00/07498398.pdf
https://www.computer.org/csdl/proceedings-article/icde/2016/07498398/12OmNAH5diJ
https://corescholar.libraries.wright.edu/knoesis/1069/
http://ieeexplore.ieee.org/document/7058431
https://ieeexplore.ieee.org/document/7058431
http://dblp.uni-trier.de/db/journals/tkde/tkde27.html#DongT15
https://dblp.uni-trier.de/db/journals/tkde/tkde27.html#DongT15

Random Forests for multiclass classification: Random MultiNomial Logit

Autoren: A. PRINZIE D. VAN DEN POEL

Quelle: Prinzie, A & Van den Poel, D 2008, ' Random Forests for multiclass classification: Random MultiNomial Logit ', Expert Systems with Applications, vol. 34, no. 3, pp. 1721-1732 . https://doi.org/10.1016/j.eswa.2007.01.029

Schlagwörter: 0301 basic medicine, 03 medical and health sciences, multiclass classifier design and evaluation, feature evaluation and selection, data mining methods and algorithms, customer relationship management (CRM), 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 15. Life on land, Customer relationship management (CRM), Feature evaluation and selection, Multiclass classifier design and evaluation, Data mining methods and algorithms, 12. Responsible consumption

Zugangs-URL: https://research.manchester.ac.uk/en/publications/c912dd8e-9ed8-4e6e-8511-0750ae72ff8e
https://doi.org/10.1016/j.eswa.2007.01.029
http://wps-feb.ugent.be/Papers/wp_07_435.pdf

A parameter-free KNN for rating prediction

Autoren: Fopa, Medjeu Gueye, Modou Ndiaye, Samba et al.

Weitere Verfasser: Fopa, Medjeu Gueye, Modou Ndiaye, Samba et al.

Quelle: Data & Knowledge Engineering. 142:102095

Schlagwörter: Mining methods and algorithms, Collaborative filtering, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 02 engineering and technology, K nearest neighbors, Recommendation systems

Fast detection of XML structural similarity

Autoren: FLESCA, Sergio G. MANCO E. MASCIARI et al.

Quelle: IEEE transactions on knowledge and data engineering
17 (2005): 160–175. doi:10.1109/TKDE.2005.27
info:cnr-pdr/source/autori:Sergio Flesca; Giuseppe Manco; Elio Masciari; Luigi Pontieri; Andrea Pugliese/titolo:Fast Detection of XML Structural Similarity/doi:10.1109%2FTKDE.2005.27/rivista:IEEE transactions on knowledge and data engineering (Print)/anno:2005/pagina_da:160/pagina_a:175/intervallo_pagine:160–175/volume:17
17-2 (2005): 160–175.
info:cnr-pdr/source/autori:Flesca Sergio, Manco Giuseppe, Masciari Elio, Pugliese Andrea, Pontieri Luigi/titolo:Fast Detection of XML Structural Similarity/doi:/rivista:IEEE transactions on knowledge and data engineering (Print)/anno:2005/pagina_da:160/pagina_a:175/intervallo_pagine:160–175/volume:17-2

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, Web mining, mining methods and algorithms, XML/XSL/RDF, text mining, similarity measures, 02 engineering and technology

Zugangs-URL: http://www.cnr.it/prodotto/i/14391
https://publications.cnr.it/doc/14391
http://hdl.handle.net/11588/761559
http://hdl.handle.net/11588/763002
https://hdl.handle.net/20.500.14243/201495
https://hdl.handle.net/20.500.14243/13397
https://doi.org/10.1109/TKDE.2005.27
https://hdl.handle.net/20.500.14243/196921
https://hdl.handle.net/20.500.11770/123213
https://doi.org/10.1109/TKDE.2005.27
https://hdl.handle.net/20.500.11770/167299
https://hdl.handle.net/11588/761559
https://hdl.handle.net/11588/763002

Anonymizing graphs: measuring quality for clustering

Autoren: Casas-Roma, Jordi Herrera-Joancomartí, Jordi Torra, Vicenç et al.

Weitere Verfasser: Casas-Roma, Jordi Herrera-Joancomartí, Jordi Torra, Vicenç et al.

Quelle: O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Consejo Superior de Investigaciones Científicas (CSIC)
Recercat. Dipósit de la Recerca de Catalunya

Schlagwörter: Mining methods and algorithms, Privacy, Quality and Metrics, 0103 physical sciences, Semi-structured data and XML, 0202 electrical engineering, electronic engineering, information engineering, Data Mining, 02 engineering and technology, Networks, Data mining, 01 natural sciences

Dateibeschreibung: application/pdf

Zugangs-URL: http://openaccess.uoc.edu/webapps/o2/bitstream/10609/39141/1/Casas-Roma_KAIS2014_Anonymazing.pdf
http://hdl.handle.net/10609/39141
http://hdl.handle.net/10261/131202

Mining Artful Processes from Knowledge Workers' Emails

Autoren: DI CICCIO, Claudio MECELLA, Massimo

Quelle: IEEE Internet Computing. 17:10-20

Schlagwörter: workflow management software, declarative workflow models, workflow management, process mining, 02 engineering and technology, data mining, text mining, knowledge management, mining methods and algorithms, electronic mail, 0202 electrical engineering, electronic engineering, information engineering, collaborative work, internet, speech processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://research-portal.uu.nl/en/publications/c196f3dc-e511-447e-b669-5be05296f510
https://doi.org/10.1109/MIC.2013.60
https://hdl.handle.net/11573/537137
https://doi.org/10.1109/mic.2013.60

Generative Models for Item Adoptions Using Social Correlation

Autoren: CHUA, Freddy Chong Tat LAUW, Hady Wirawan LIM, Ee Peng

Quelle: IEEE Transactions on Knowledge and Data Engineering. 25:2036-2048

Schlagwörter: Database applications, Database management, Databases and Information Systems, Mining methods and algorithms, 5. Gender equality, Information technology and systems, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Data mining, Numerical Analysis and Scientific Computing, Social Media, 7. Clean energy, 12. Responsible consumption

Dateibeschreibung: application/pdf

Zugangs-URL: https://ink.library.smu.edu.sg/sis_research/1550
http://ieeexplore.ieee.org/document/6235960/
https://ink.library.smu.edu.sg/sis_research/1550/
https://dblp.uni-trier.de/db/journals/tkde/tkde25.html#ChuaLL13
https://www.computer.org/csdl/journal/tk/2013/09/ttk2013092036/13rRUxD9h5F
https://doi.org/10.1109/TKDE.2012.137
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2549&context=sis_research