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Mining interestingness patterns on Lean Six Sigma for process and product optimisation

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dc.title Mining interestingness patterns on Lean Six Sigma for process and product optimisation en
dc.contributor.author Nabareseh, Stephen
dc.contributor.author Vlasov, Vladyslav
dc.contributor.author Klímek, Petr
dc.contributor.author Chromjaková, Felicita
dc.relation.ispartof Proceedings of the 3rd International Conference on Finance and Economics 2016
dc.date.issued 2016
dc.citation.spage 382
dc.citation.epage 395
dc.event.title 3rd International Conference on Finance and Economics (ICFE)
dc.event.location Ho Chi Minh City
utb.event.state-en Vietnam
utb.event.state-cs Vietnam
dc.event.sdate 2016-06-15
dc.event.edate 2016-06-17
dc.type conferenceObject
dc.language.iso en
dc.publisher Tomas Bata University in Zlín
dc.subject text mining en
dc.subject Lean Six Sigma (LSS) en
dc.subject optimisation en
dc.subject web mining en
dc.subject operational strategy en
dc.subject six sigma en
dc.description.abstract The paper seeks to find from textual online data the frequent terms in news media on Lean Six Sigma (LSS), the areas and mode of application. The paper also purposes to identify the association between the eight kinds of waste in LSS against the frequent terms. This paper uses the web mining and text mining techniques of data mining to extract 1203 textual data from Google news for analysis. The R programming language web mining plugin is used for the web text extraction and analysis for frequent terms, correlation and association. The research identifies the key terms in LSS mainly used by companies, academia, researchers and other users of news media. Seven of the eight major kinds of waste in LSS were frequent in news media on google news. The paper also reveals the manner of online information contained in online featured on the internet on LSS. The paper assists online information seekers, industry players and policy formulators in tuning the concept along the goal for online news formulation and industrial adoption. The paper uses textual data from Google search engine, transforms and analyses the data by the use of the R data mining tool. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1008941
utb.identifier.rivid RIV/70883521:28120/16:43874432!RIV17-MSM-28120___
utb.identifier.obdid 43875057
utb.identifier.wok 000471168600031
utb.source d-wok
dc.date.accessioned 2019-08-16T09:30:10Z
dc.date.available 2019-08-16T09:30:10Z
dc.description.sponsorship Internal Grant Agency of Tomas Bata University [IGA/FaME/2016/019, IGA/FaME/2015/023, IGA/FaME/2014/007]
utb.contributor.internalauthor Nabareseh, Stephen
utb.contributor.internalauthor Vlasov, Vladyslav
utb.contributor.internalauthor Klímek, Petr
utb.contributor.internalauthor Chromjaková, Felicita
utb.fulltext.affiliation Nabareseh Stephen, Vlasov Vladyslav, Klímek Petr, Chromjaková Felicita Faculty of Management and Economics, Tomas Bata University in Zlin Mostni 5139, 760 01, Zlin - Czech Republic Email: nabareseh@fame.utb.cz Faculty of Management and Economics, Tomas Bata University in Zlin Mostni 5139, 760 01, Zlin - Czech Republic Email: vlasov@fame.utb.cz Faculty of Management and Economics, Tomas Bata University in Zlin Mostni 5139, 760 01, Zlin - Czech Republic Email: klimek@fame.utb.cz Faculty of Management and Economics, Tomas Bata University in Zlin Mostni 5139, 760 01, Zlin - Czech Republic Email: chromjakova@fame.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by Internal Grant Agency of Tomas Bata University IGA/FaME/2016/019, IGA/FaME/2015/023 and IGA/FaME/2014/007.
utb.wos.affiliation [Nabareseh, Stephen; Vlasov, Vladyslav; Klimek, Petr; Chromjakova, Felicita] Tomas Bata Univ Zlin, Fac Management & Econ, Mostni 5139, Zlin 76001, Czech Republic
utb.fulltext.projects IGA/FaME/2016/019
utb.fulltext.projects IGA/FaME/2015/023
utb.fulltext.projects IGA/FaME/2014/007
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Management and Economics
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