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Dec 06, 2023 •118 likes •174 views

Handling Incomplete, Uncertain, Inconsistent Data Important subject: such data is everywhere Key research challenges Tools/techniques we need Neighbors Some more general thoughts Modeling Reasoning with Making it uncertainty

  1. Handling Incomplete, Uncertain, Inconsistent Data • Important subject: such data is everywhere • Key research challenges • Tools/techniques we need • Neighbors • Some more general thoughts

  2. Modeling Reasoning with Making it uncertainty uncertainty practical • Learning queries on • Approximate • Types of uncertainty • what is the truth? uncertain data answers • Inferences with • Query optimization • How to store/ represent it? incomplete data with incomplete info • Generalizability of • Inconsistency/CQA: • Ranking uncertain answers query results making it work for • Integrating different • Connection to data cleaning • Practical query prob. programming types of uncertainty evaluation on prob. data

  3. Tools/techniques: what is needed • Benchmarks: we don’t really have any • but who will maintain them? • Approximate solutions • there is life beyond CQs! • Downloadable software tools

  4. Neighborhs • SIGMOD!!! • Uncertainty in AI: UAI/SUM/STARAI... • Traditional AI: KR, DL, AAAI, IJCAI...

  5. More general points • SIGMOD does not see us (well) • PR/visibility is important! • ACTIONS • PODS Day 1 : it’s happening now, PODS EXEC - act!!! • Research Highlights: CACM , now SIGMOD Record • More involvement in SIGMOD events

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