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Analysis of Uncertain Data: Tools for Representation and Processing

Explore the challenges of representing and reasoning with uncertain data, and learn techniques for identifying critical uncertainties and planning additional data collection. Discover GUI tools for uncertainty analysis, data collection, and knowledge assessment. This project also focuses on contingency analysis and future work in what-if analysis of alternative situations.

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Analysis of Uncertain Data: Tools for Representation and Processing

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  1. Analysis of Uncertain Data:Tools for Representation and Processing Bin FuEugene FinkJaime G. Carbonell

  2. Motivation The available knowledgeabout the real world isinherently uncertain. We usually make decisionsbased on incomplete and partially inaccurate data.

  3. Challenges • Representation of uncertainty • Fast reasoning based on uncertain knowledge • Identification of critical uncertainties • Planning of additional data collection

  4. RAPID (2007–2008) “Representation and Analysis of Probabilistic Intelligence Data” Analysis of uncertain military-intelligence data and planning of future data collection. Projects RADAR(2003–2008) “Reflective Agent with DistributedAdaptive Reasoning” Scheduling and resource allocation under uncertainty.

  5. GUI Tools Uncertainty analysis Data collection • Representation of probabilitydistributions and qualitativeuncertainty • Uncertainty arithmetic • Representation of probes • Evaluation of probe utility • Selection of critical probes Knowledge assessment Contingency analysis • Representation of data utility • Tracking utility changesduring data collection • Identification of criticaluncertainties FUTURE WORK What-if analysis of alternativesituations and probes based onan extension of Excel “scenarios” Architecture Microsoft Excel

  6. Demo Analysis of public data abouthigh-technology companies.

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