Developing a hybrid model for data mining, holistic and knowledge management to enhance business administration
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Developing a hybrid model for data mining, holistic and knowledge management to enhance business administration
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Drive your knowledge be a scientist
ISBN
978-80-7454-475-0
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
513-521
Publisher name
Fakulta managementu a ekonomiky, UTB ve Zlíně
Place of publication
Zlín
Event location
Zlín
Event date
Apr 23, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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