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dc.contributor.authorGodlevsky, Mikhail D.
dc.contributor.authorOrekhov, Sergey V.
dc.contributor.editorGodlevsky, Mikhail
dc.contributor.editorMayr, Heinrich C.
dc.date.accessioned2020-01-07T11:50:42Z
dc.date.available2020-01-07T11:50:42Z
dc.date.issued2001
dc.identifier.isbn13-88579-331-8
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/30741
dc.description.abstractThis paper is concerned with the data mining application to business process automation. A short tutorial on stages of financial analysis of an enterprise is given. A brief description of data mining components for financial analysis of an enterprise is presented in the paper. The main element of data mining application is fuzzy neural system. The structure of fuzzy neural system includes linguistic variable "financial state", neural network and fuzzy rules. The fuzzy neural system forms the financial state estimation based on balance sheets from dataware house of an enterprise. The data mining application has been realized as software in Microsoft Visual Basic 6.0. The software was applied to estimation of financial state of Kharkov (Ukrainian) enterprises in 1999. Finally, the set of enterprises for investment was found.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofInformation Systems Technology and its Applications, international conference ISTA'2001
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-2
dc.subjectdata mining
dc.subjectbusiness process
dc.subjectfinancial state
dc.subjectfuzzy neural system
dc.titleAn enterprise financial state estimation based on data miningen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages229-235
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationKharkiv, Ukraine
mci.conference.dateJune 13-15, 2001


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