Necula, Sabina-Cristiana (2011): The Actual Functionality Requirements for Business Decision Support Systems. Published in: Proceedings of the 17th IBIMA Conference on Creating Global Competitive Economies: A 360-degree Approach (November 2011): pp. 877-884.
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Abstract
The specialty studies have sought to emphasize the importance of IT tools in human reasoning emulation, in developing methods and techniques in order to extract knowledge based on text, or in developing methods in order to improve decision-making process. This paper tries to present the functionalities required by decision support systems in order to sustain the business processes.
Item Type: | MPRA Paper |
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Original Title: | The Actual Functionality Requirements for Business Decision Support Systems |
English Title: | The Actual Functionality Requirements for Business Decision Support Systems |
Language: | English |
Keywords: | knowledge, decision support systems, knowledge |
Subjects: | D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness L - Industrial Organization > L8 - Industry Studies: Services > L86 - Information and Internet Services ; Computer Software |
Item ID: | 51550 |
Depositing User: | Sabina Cristiana Necula |
Date Deposited: | 18 Nov 2013 21:06 |
Last Modified: | 21 Oct 2019 07:24 |
References: | Alcaraz Calero, J. M., Marin Perez, J. M., Bernal Bernabe, J., Garcia Clemente, F.J., Martinez Perez, G., Gomez Skarmeta, A.F., “Detection of semantic conflicts in ontology and rule-based information systems”, in Data & Knowledge Engineering, Volume 69, Issue 11, Special issue on contribution of ontologies in designing advanced information systems, November 2010, Pages 1117-1137, ISSN 0169-023X Chauduri, S., Dayal, U., “An Overview of Data Warehousing and OLAP Technology”, SIGMOD Record, 26, pp. 65-74, 1997 Chen, M.S., Han, J., Yu, P.S., “Data Mining: An Overview from a Database Perspective”, IEEE Trans. On Knowledge And Data Engineering, 1996, p. 12 Chen, Z., “Computational Intelligence for Decision Support”, CRC Press, 2000, p.2 Garcia-Castro, R., Gomez-Perez, A., “Interoperability results for Semantic Web technologies using OWL as the interchange language”, in Web Semantics: Science, Services and Agents on the World Wide Web, Volume 8, Issue 4, Semantic Web Challenge 2009; User Interaction in Semantic Web research, November 2010, Pages 278-291, ISSN 1570-8268 Holsapple, C.W, Whinston A.B., “The Evolving Roles of Models in Decision Support Systems”, Decision Sciences pp.337- 356, 1980 Janev, V., Vranes, S., “Applicability assessment of Semantic Web technologies, in Information Processing & Management”, In Press, Corrected Proof, Available online 27 November 2010 Madche, A. And Staab S., “Ontology learning for the semantic web”, in IEEE Intelligent Systems, 2001, 16(2), 72-79 McCarthy, J., “Artificial Intelligence, Logic and Formalizing Common Sense”, 1990, p. 12 Oprea, D., Meşniţă, G., Dumitriu, F., “Analiza sistemelor informaţionale”, Alexandru Ioan Cuza Publishing House, Iaşi, 2005, p. 67 Wunsch D.C., “Intelligent Computers? We Still Have A Long Way To "Go"”, http://www.sciencedaily.com/releases/2000/03/000314072236.htm |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/51550 |