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Probabilistic Ranking of Database Query Results Surajit Chaudhuri, Microsoft Research Gautam Das, Microsoft Research Vagelis Hristidis, Florida International University Gerhard Weikum, MPI Informatik
Roadmap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Motivation ,[object Object],[object Object],[object Object]
Example – Realtor Database ,[object Object],[object Object],[object Object],[object Object]
Rank According to Unspecified Attributes ,[object Object],[object Object],[object Object],[object Object],[object Object]
Key Problems ,[object Object],[object Object]
Roadmap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Architecture
Roadmap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
PIR Review ,[object Object],[object Object],[object Object]
Ranking Function – Adapt PIR ,[object Object],[object Object],R  D X, R, D common. R satisfies X .
Ranking Function – Limited Conditional Independence ,[object Object],Use Data , C involves Y, R, D , C involves X, R, D Use Workload
Atomic Probabilities Estimation Using Workload W ,[object Object],[object Object],[object Object],Using Limited Conditional Independence Global Part Conditional Part ,[object Object]
Roadmap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Performance
Scan Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
List Merge Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Final Formula:
Roadmap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Quality Experiments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Quality Experiments – Average Precision ,[object Object],[object Object]
Quality Experiments - Fraction of Users Preferring Each Algorithm ,[object Object],[object Object],[object Object]
Performance Experiments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Performance Experiments - Precomputation ,[object Object]
Performance Experiments - Execution Varying Number of Tuples Satisfying Selection Conditions ,[object Object],[object Object]
Performance Experiments - Execution ,[object Object]
Roadmap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Related Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Roadmap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions – Future Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Questions?
Performance Experiments - Execution ,[object Object],[object Object]

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probabilistic ranking

  • 1. Probabilistic Ranking of Database Query Results Surajit Chaudhuri, Microsoft Research Gautam Das, Microsoft Research Vagelis Hristidis, Florida International University Gerhard Weikum, MPI Informatik
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