Time series labeling algorithms based on the K-nearest neighbors' frequencies
| dc.contributor.author | Efendi N. Nasibov | |
| dc.contributor.author | Sinem Peker | |
| dc.contributor.author | Nasibov, Efendi N. | |
| dc.contributor.author | Peker, Sinem | |
| dc.date.accessioned | 2025-10-06T17:53:01Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | In the current paper time series labeling task is analyzed and some solution algorithms are presented. In these algorithms fuzzy c-means clustering which is one of the unsupervised learning methods is used to obtain the labels of the time series. Then K-nearest neighborhood (KNN) rule is performed on the labels to obtain more relevant smooth intervals. As an application the handled labeling algorithms are performed on bispectral index (BIS) data which are time series measures of brain activity. Finally smoothing process is found useful in the estimation of sedation stage labels. © 2010 Elsevier Ltd. All rights reserved. © 2011 Elsevier B.V. All rights reserved. | |
| dc.identifier.doi | 10.1016/j.eswa.2010.09.147 | |
| dc.identifier.issn | 09574174 | |
| dc.identifier.issn | 0957-4174 | |
| dc.identifier.issn | 1873-6793 | |
| dc.identifier.scopus | 2-s2.0-79151483731 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79151483731&doi=10.1016%2Fj.eswa.2010.09.147&partnerID=40&md5=f3cd22584730590df3bc15dbb60911b4 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/10237 | |
| dc.identifier.uri | https://doi.org/10.1016/j.eswa.2010.09.147 | |
| dc.language.iso | English | |
| dc.publisher | Pergamon-Elsevier Science Ltd | |
| dc.relation.ispartof | Expert Systems with Applications | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.source | Expert Systems with Applications | |
| dc.subject | Bispectral Index, Clustering, Fcm, K-nearest Neighbor, Time Series, Bispectral Index, Brain Activity, Clustering, Fcm, Fuzzy C Means Clustering, K-nearest Neighborhoods, K-nearest Neighbors, Labeling Algorithms, Smoothing Process, Solution Algorithms, Unsupervised Learning Method, Brain, Cluster Analysis, Membership Functions, Text Processing, Time Series, Unsupervised Learning, Clustering Algorithms | |
| dc.subject | Bispectral index, Brain activity, Clustering, FCM, Fuzzy C means clustering, K-nearest neighborhoods, K-nearest neighbors, Labeling algorithms, Smoothing process, Solution algorithms, Unsupervised learning method, Brain, Cluster analysis, Membership functions, Text processing, Time series, Unsupervised learning, Clustering algorithms | |
| dc.subject | FCM | |
| dc.subject | Time Series | |
| dc.subject | Clustering | |
| dc.subject | K-Nearest Neighbor | |
| dc.subject | Bispectral Index | |
| dc.title | Time series labeling algorithms based on the K-nearest neighbors' frequencies | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| gdc.author.id | Nasibov, Efendi/0000-0002-1889-6410 | |
| gdc.author.scopusid | 23991127300 | |
| gdc.author.scopusid | 56007375900 | |
| gdc.author.wosid | Nasibov, Efendi/ISV-0173-2023 | |
| gdc.author.wosid | Kara Peker, Sinem/AAT-1543-2020 | |
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| gdc.description.department | ||
| gdc.description.departmenttemp | [Nasibov, Efendi N.] Dokuz Eylul Univ, Fac Sci, Dept Comp Sci, TR-35160 Izmir, Turkey; [Peker, Sinem] Yasar Univ, Fac Sci & Letters, Dept Stat, TR-35100 Izmir, Turkey | |
| gdc.description.endpage | 5035 | |
| gdc.description.issue | 5 | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 5028 | |
| gdc.description.volume | 38 | |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
| gdc.identifier.openalex | W2115461310 | |
| gdc.identifier.wos | WOS:000287419900042 | |
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| gdc.oaire.sciencefields | 0209 industrial biotechnology | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
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| gdc.virtual.author | Peker, Sinem | |
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| person.identifier.scopus-author-id | Nasibov- Efendi N. (56007375900), Peker- Sinem (23991127300) | |
| publicationissue.issueNumber | 5 | |
| publicationvolume.volumeNumber | 38 | |
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