Elicitation, Estimation & Explanation Challenges in Handling Imprecision & Incompleteness in Autonomous Databases (Position Paper for Penn II Workshop) Topic: Imprecision and uncertainty in data and inferences
نویسندگان
چکیده
We will motivate the problem of simultaneously handling incompleteness and imprecision in autonomous databases. We will argue that effectively tackling this problem requires solutions to density and relevance estimation, query rewriting and result explanation. We will show that solving these problems requires tools from decision theory, utility elicitation, statistical learning, as well as core database techniques for handling uncertainty and incompleteness. We will provide pointers to our current progress in designing a system, QUIC, for handling some of these challenges.
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