Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ran M. Bittmann"'
The present paper proposes a conceptual ontology to evaluate human factors by modeling their key performance indicators and defining these indicators' explanatory factors, manifestations and diverse corresponding digital footprints. Our methodology i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cedb8baa75d1b146e7f79b8410ba35f4
https://surrey.eprints-hosting.org/846414/
https://surrey.eprints-hosting.org/846414/
Publikováno v:
Computers in Industry. 64:887-897
The importance of interoperability for businesses is undoubted. After an evolution from electronic data interchange to interoperability in electronic business and enterprise interoperability both the scientific and the practitioners' community are to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ebecd67cf81869cea8a400487e28a81
https://doi.org/10.1016/j.compind.2013.06.017
https://doi.org/10.1016/j.compind.2013.06.017
Publikováno v:
Expert Systems with Applications. 36:10438-10446
The goal of this study was to overcome three main shortcomings in using a single algorithm to determine a particular clustering of a phenomenon. We addressed this issue by considering cross-cultural research as a case in point and applied Multi-Algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbf26d2cf5d311be85b9c726e413ea67
https://doi.org/10.1016/j.eswa.2009.01.071
https://doi.org/10.1016/j.eswa.2009.01.071
Autor:
Ran M. Bittmann, Roy Gelbard
Publikováno v:
Expert Systems. 24:171-187
Currently, classifying samples into a fixed number of clusters (i.e. supervised cluster analysis) as well as unsupervised cluster analysis are limited in their ability to support ‘cross-algorithms’ analysis. It is well known that each cluster ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eebf41911a05eff7b4d7f783cbad1af8
https://doi.org/10.1111/j.1468-0394.2007.00428.x
https://doi.org/10.1111/j.1468-0394.2007.00428.x
Autor:
Roy Gelbard, Ran M. Bittmann
The problem of analyzing datasets and classifying them into clusters based on known properties is a well known problem with implementations in fields such as finance (e.g., pricing), computer science (e.g., image processing), marketing (e.g., market
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::566d6f8d0ee405e7e159ff6649886033
https://doi.org/10.4018/978-1-59904-843-7.ch034
https://doi.org/10.4018/978-1-59904-843-7.ch034