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Handling Probabilistic Data Ander de Keijzer Scalable Uncertainty Management Medical domain Physicians are inference systems Physicians working together, means exchanging data But. Physicians really dont like uncertainty!!


  1. Handling Probabilistic Data Ander de Keijzer Scalable Uncertainty Management

  2. Medical domain § Physicians are inference systems § Physicians working together, means exchanging data But…. § Physicians really don’t like uncertainty!! Scalable Uncertainty Management

  3. Brief overview of uncertain data § Data has an associated probability Patient (name, diagnosis*) Amy, (Epilepsy || Parkinson) Scalable Uncertainty Management

  4. Brief overview of uncertain data § Data has an associated probability § Granularity of uncertainty depends on level with which the probability is associated Patient (name, diagnosis*) Patient (name, diagnosis*) Amy, (Epilepsy || Parkinson) Amy, (Epilepsy:.8 || Parkinson:.2) Scalable Uncertainty Management

  5. Brief overview of uncertain data § Data has an associated probability § Granularity of uncertainty depends on level with which the probability is associated EEGFeatures(patient, feature) AccelData(patient, feature) Amy, FocalBurst Amy, ShortStride ? ? Patient (name, diagnosis*) Patient (name, diagnosis*) Amy, (Epilepsy || Parkinson) Amy, (Epilepsy:.8 || Parkinson:.2) Scalable Uncertainty Management

  6. Brief overview of uncertain data § Data has an associated probability § Granularity of uncertainty depends on level with which the probability is associated EEGFeatures(patient, feature) AccelData(patient, feature) Amy, FocalBurst Amy, ShortStride ? ? 10 20 Patient (name, diagnosis*) Amy, (Epilepsy:.8 || Parkinson:.2) 30 λ (30,1)= 10; λ (30,2)=20 Scalable Uncertainty Management

  7. Or… § Probabilities given as conditional dependence probabilities, which incorporate lineage. Epilepsy Parkinson FocalBurst ShortStride Falling Scalable Uncertainty Management

  8. Or… . Falling α 1- α EEG Accel FocalBurst ShortStride Scalable Uncertainty Management

  9. Discussion Scalable Uncertainty Management

  10. Discussion § Where do the initial probabilities come from? Scalable Uncertainty Management

  11. Discussion § Where do the initial probabilities come from? § Are they even probabilities?? Or is it confidence scores? Scalable Uncertainty Management

  12. Discussion § Where do the initial probabilities come from? § Are they even probabilities?? Or is it confidence scores? § Lineage…or provenance….or inference rules?? § How to represent the data to end users? § Database researchers usually ignore this one! § Is uncertainty (in databases) only useful with large amounts of data? § Can we scale? § What is large scale? Scalable Uncertainty Management

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