Developing a hybrid model for data mining, holistic and knowledge management to enhance business administration

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F15%3A43872881" target="_blank" >RIV/70883521:28120/15:43872881 - 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

Developing a hybrid model for data mining, holistic and knowledge management to enhance business administration

Popis výsledku v původním jazyce

Knowledge is a multidimensional concept and categorized either as explicit or tacit. Knowledge, whether tacit or explicit, is very much needed by every establishment for accelerated growth. In recent times, holistic management concept has engulfed industry and academia in the quest to design a more compact management concept. Whether knowledge or holistic management, data is generated and transformed into information and knowledge that is used and managed. Data mining algorithms are therefore employed to mine relevant patterns and interestingness in data to generate this knowledge. The three concepts, holistic management, data mining and knowledge management, are interwoven and directly benefit from each other. This paper sets out to (1) provide an in-depth analysis of the concepts and models of holistic management, data mining and knowledge management, (2) designs an explanatory hybrid model that presents the three models in one comprehensive one, and (3) outlines relevant areas of ut

Název v anglickém jazyce

Developing a hybrid model for data mining, holistic and knowledge management to enhance business administration

Popis výsledku anglicky

Knowledge is a multidimensional concept and categorized either as explicit or tacit. Knowledge, whether tacit or explicit, is very much needed by every establishment for accelerated growth. In recent times, holistic management concept has engulfed industry and academia in the quest to design a more compact management concept. Whether knowledge or holistic management, data is generated and transformed into information and knowledge that is used and managed. Data mining algorithms are therefore employed to mine relevant patterns and interestingness in data to generate this knowledge. The three concepts, holistic management, data mining and knowledge management, are interwoven and directly benefit from each other. This paper sets out to (1) provide an in-depth analysis of the concepts and models of holistic management, data mining and knowledge management, (2) designs an explanatory hybrid model that presents the three models in one comprehensive one, and (3) outlines relevant areas of ut

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Drive your knowledge be a scientist

ISBN

978-80-7454-475-0

ISSN

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e-ISSN

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Počet stran výsledku

11

Strana od-do

513-521

Název nakladatele

Fakulta managementu a ekonomiky, UTB ve Zlíně

Místo vydání

Zlín

Místo konání akce

Zlín

Datum konání akce

23. 4. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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