Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
View maintenance in a warehousing environment
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
A probabilistic relational model and algebra
ACM Transactions on Database Systems (TODS)
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Template-based wrappers in the TSIMMIS system
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Deriving Trends in Historical and Real-Time Continuously Sampled Medical Data
Journal of Intelligent Information Systems - Special issue on integrating artificial intelligene and database technologies
Middleware Moves to the Forefront
Computer
Digital Woes: Why We Should Not Depend on Software
Digital Woes: Why We Should Not Depend on Software
The Internet Bubble: Inside the Overvalued World of High-Tech Stocks -- And What You Need to Know to Avoid the Coming Catastrophe
Decision Modeling with Microsoft Excel
Decision Modeling with Microsoft Excel
The Management of Probabilistic Data
IEEE Transactions on Knowledge and Data Engineering
The Conceptual Basis for Mediation Services
IEEE Expert: Intelligent Systems and Their Applications
Information Systems that Really Support Decision-making
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
Utility elicitation as a classification problem
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Efficient integration of web services with distributed data flow and active mediation
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
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We study requirements to make information systems used for decision-making support effective. Lacking today is support for projection within these systems: the action that a decision maker initiates has effects in the future, and these must be assessed. Information systems however, focus on the past, and leave projection to be performed either by the decision makers intuition, or to a variety of tools that are not well integrated. After enumerating needed functions, we present concepts needed for an adequate infrastructure.We then describe some research that has demonstrated a capability for integrating output from spreadsheets and other simulations into information systems. We close by indicating research and development direction that should be pursued to make the vision of information systems that can also project into the future a reality.