Web-Based System for Enterprise Performance Analysis on the Basis of Time Series Data Mining

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA1701GW3" target="_blank" >RIV/61988987:17610/16:A1701GW3 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Web-Based System for Enterprise Performance Analysis on the Basis of Time Series Data Mining

Popis výsledku v původním jazyce

The development strategy of a complex enterprise depends on the financial performance evaluation. The latter can be made by time series analysis and forecasting of financial indicators. The paper is focused on a web-based system, which integrates fuzzy time series forecasting techniques with a web service to support enterprise managers in making plan for next period. In the paper the web service with three main components proposed: time series forecasting system using F-transform and fuzzy tendency forecasting techniques, system for linguistic description of predicted fuzzy tendency of each financial indicators and expert system for deriving the linguistic summarization of enterprise financial state and recommendation for planning for next period. As the proposed web service was successfully examined by ten Russian enterprises the example of financial performance evaluation was showed.

Název v anglickém jazyce

Web-Based System for Enterprise Performance Analysis on the Basis of Time Series Data Mining

Popis výsledku anglicky

The development strategy of a complex enterprise depends on the financial performance evaluation. The latter can be made by time series analysis and forecasting of financial indicators. The paper is focused on a web-based system, which integrates fuzzy time series forecasting techniques with a web service to support enterprise managers in making plan for next period. In the paper the web service with three main components proposed: time series forecasting system using F-transform and fuzzy tendency forecasting techniques, system for linguistic description of predicted fuzzy tendency of each financial indicators and expert system for deriving the linguistic summarization of enterprise financial state and recommendation for planning for next period. As the proposed web service was successfully examined by ten Russian enterprises the example of financial performance evaluation was showed.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the First International Scientific Conference ?Intelligent Information Technologies for Industry? (IITI?16)

ISBN

978-3-319-33608-4

ISSN

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e-ISSN

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Počet stran výsledku

12

Strana od-do

75-86

Název nakladatele

Springer

Místo vydání

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Místo konání akce

Rostov-on-Don - Sochi, Russia

Datum konání akce

16. 5. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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