- Authors:
- Efraim Turban,
- Ramesh Sharda,
- Dursun Delen
Decision Support and Business Intelligence Systems 9e provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making. KEY TOPICS: Decision Support Systems and Business Intelligence. Decision Making, Systems, Modeling, and Support. Decision Support Systems Concepts, Methodologies, and Technologies: An Overview. Modeling and Analysis. Data Mining for Business Intelligence. Artificial Neural Networks for Data Mining. Text and Web Mining. Data Warehousing. Collaborative Computer-Supported Technologies and Group Support Systems. Knowledge Management. Artificial Intelligence and Expert Systems. Advanced Intelligent Systems. Management Support Systems: Emerging Trends and Impacts. Ideal for practicing managers interested in the foundations and applications of BI, group support systems (GSS), knowledge management, ES, data mining, intelligent agents, and other intelligent systems.
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- Boukhayma K, Ben Hiba L and Elmanouar A DSS success Proceedings of the ArabWIC 6th Annual International Conference Research Track, (1-6)
- Ghosh S, Hazra A, Choudhury B, Biswas P and Nag A A Comparative Study to the Bank Market Prediction Machine Learning and Data Mining in Pattern Recognition, (259-268)
- Miah S and Khatun M (2018). Design Methods for Decision Support Systems, International Journal of Business Intelligence Research, 9:1, (38-52), Online publication date: 1-Jan-2018.
- Wery J, Gaudreault J, Thomas A and Marier P (2018). Simulation-optimisation based framework for Sales and Operations Planning taking into account new products opportunities in a co-production context, Computers in Industry, 94:C, (41-51), Online publication date: 1-Jan-2018.
- Serna M. E, Bachiller S. O and Serna A. A (2017). Knowledge meaning and management in requirements engineering, International Journal of Information Management: The Journal for Information Professionals, 37:3, (155-161), Online publication date: 1-Jun-2017.
- Arpaci I (2017). Antecedents and consequences of cloud computing adoption in education to achieve knowledge management, Computers in Human Behavior, 70:C, (382-390), Online publication date: 1-May-2017.
- Trieu V (2017). Getting value from Business Intelligence systems, Decision Support Systems, 93:C, (111-124), Online publication date: 1-Jan-2017.
- Jayawickrama U, Liu S and Hudson Smith M (2016). Empirical evidence of an integrative knowledge competence framework for ERP systems implementation in UK industries, Computers in Industry, 82:C, (205-223), Online publication date: 1-Oct-2016.
- Kasemsap K (2016). The Fundamentals of Business Intelligence, International Journal of Organizational and Collective Intelligence, 6:2, (12-25), Online publication date: 1-Apr-2016.
- Jenab K, Khoury S, Teimouri H and Hoojaghan F (2016). The Effect of Managers' Business Intelligence on Attracting Foreign Tourists Case Study, International Journal of Organizational and Collective Intelligence, 6:2, (1-11), Online publication date: 1-Apr-2016.
- Hu Y, Wu F and Liao Y (2013). An efficient tree-based algorithm for mining sequential patterns with multiple minimum supports, Journal of Systems and Software, 86:5, (1224-1238), Online publication date: 1-May-2013.
- Juan-Verdejo A and Baars H Decision support for partially moving applications to the cloud Proceedings of the 2013 international workshop on Hot topics in cloud services, (35-42)
- Şen B, Uçar E and Delen D (2012). Predicting and analyzing secondary education placement-test scores, Expert Systems with Applications: An International Journal, 39:10, (9468-9476), Online publication date: 1-Aug-2012.
- Morales-Chaparro R, Preciado J and S$#225;nchez-Figueroa F Data-Driven and user-driven multidimensional data visualization Proceedings of the 11th international conference on Current Trends in Web Engineering, (159-166)
- Majchrzak T, Jansen T and Kuchen H Efficiency evaluation of open source ETL tools Proceedings of the 2011 ACM Symposium on Applied Computing, (287-294)
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