Outline

1
Outline

• Introduction
• Related Work
• Uncertain Data Probabilistic Queries
• Indexing for Probabilistic Range Queries
• Probabilistic Join Processing
• Experimental Results
• Conclusions

2
Modeling Uncertain Data

• Wolfson Sistla DPD99 proposed dead-reckoning
  to bound location uncertainty.
• Pfoser Jensen ISSD99 studied measurement and
  sampling error of location data.
• Trajcevski et al. EDBT02 presented the
  uncertainty of trajectories.
• Deshpande et al. VLDB04b discussed data
  uncertainty in sensor networks.

3
Querying Uncertain Data

• Vrbsky Liu JSS94 studied approximate answers
  for set-valued and single-valued queries over
  exact values.
• Sistla et al. TDRP98 discussed probabilistic
  range queries for moving objects.
• Khanna Tan PODS01 proposed an online
  algorithm to find out the minimum update cost
  required to answer a query with an error bound.
• Olston Widom SIGMOD02 used uncertainty bounds
  to trade-off precision and communication cost of
  querying replicated data.
• Deshpande et al. VLDB04b studied probabilistic
  query evaluation in sensor networks.

4
Probabilistic Databases

• Probabilistic Database each tuple is augmented
  with a probability value (Barbara,Garcia-Molina
  Porter) TKDE92.
• Dalvi Suciu VLDB04a studied efficient query
  evaluation with ranked results
• Probabilistic data in semi-structured model
• XML data (Nierman Jagadish) VLDB02
• Acyclic data structure (Hung,Getoor
  Subrahmanian) ICDE03