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dc.contributor.authorKöktürk Güzel, Başak Esin
dc.contributor.authorKaraçalı, Bilge
dc.date.accessioned2017-07-25T13:26:51Z
dc.date.available2017-07-25T13:26:51Z
dc.date.issued2016
dc.identifier.citationKöktürk Güzel, B. E., and Karaçalı, B. (2016, September). Fisher's linear discriminant analysis based prediction using transient features of Seismic Events in Coal Mines. In M. Ganzha, L. Maciaszek, M. Paprzycki (Eds.), Paper presented at the Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, Gdansk,, Poland (pp. 231-234). New York City : Institute of Electrical and Electronics Engineers.en_US
dc.identifier.isbn9788360810903
dc.identifier.urihttp://doi.org/10.15439/2016F116
dc.identifier.urihttp://hdl.handle.net/11147/6020
dc.description2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016; Gdansk; Poland; 11 September 2016 through 14 September 2016en_US
dc.description.abstractIdentification of seismic activity levels in coal mines is important to avoid accidents such as rockburst. Creating an early warning system that can save lives requires an automated way of predicting. This study proposes a prediction algorithm for the AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines that is based on transient activity features along with average indicators evaluated by a Fisher's linear discriminant analysis. Performance evaluation experiments on the training datasets revealed an accuracy level of around 0.9438 while the performance on the test dataset was at a level of 0.9297. These results suggest that the proposed approach achieves high accuracy in predicting danger seismic events while maintaining low complexity.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionof10.15439/2016F116en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCoal minesen_US
dc.subjectData miningen_US
dc.subjectDiscriminant analysisen_US
dc.subjectForecastingen_US
dc.subjectInformation systemsen_US
dc.subjectSeismic activityen_US
dc.titleFisher's linear discriminant analysis based prediction using transient features of Seismic Events in Coal Minesen_US
dc.typeconferenceObjecten_US
dc.contributor.authorIDTR116500en_US
dc.contributor.authorIDTR11527en_US
dc.contributor.institutionauthorKöktürk Güzel, Başak Esin
dc.contributor.institutionauthorKaraçalı, Bilge
dc.relation.journalProceedings of the 2016 Federated Conference on Computer Science and Information Systemsen_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume8en_US
dc.identifier.startpage231en_US
dc.identifier.endpage234en_US
dc.identifier.wosWOS:000392436600035
dc.identifier.scopusSCOPUS:2-s2.0-85007248686
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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