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Model-Based Query Processing Over Uncertain Data (in ICDE 2011)

Model-Based Query Processing Over Uncertain Data (in ICDE 2011). Characterizing Uncertainty in Time-Series Data. Pollution data is an example of uncertain time-series data. Raw Sensor Data. Inference of time-varying probability distributions . Creating probabilistic views.

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Model-Based Query Processing Over Uncertain Data (in ICDE 2011)

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  1. Model-Based Query Processing Over Uncertain Data(in ICDE 2011) Characterizing Uncertainty in Time-Series Data Pollution data is an example of uncertain time-series data Raw Sensor Data Inference of time-varying probability distributions Creating probabilistic views Query Processing

  2. Multi-model Query Processing in Mobile Geosensor Networks Continuous Moving Queries Give a (in car) pollution update every 30 mins • Our Approach • Middle layer that produces a model cover from a set of regression models on an area • Sensor data keeps updating the models • Queries operate on top of the models • Advantages • Key mid-level abstraction helps in handling spurious updates to the data base • Specially suitable for uncontrolled sensory deployments (for ex., community sensing) • Minimizes data storage • Intuition • Queries processed over models should yield accurate results than queries processed over raw values Aggregate Queries COX emitted yesterday in Lausanne center Model-based middle layer DBMS (storage of raw sensor values) Mobile Sensor Data (Pollution Values) Mobile Sensor Data (Pollution Values)

  3. ModelingData from Large-area Community Sensor Networks(in IPSN 2012) Key contributions: Estimation of model cover over large geographical areas (cities/urban spaces) Maintaining the model cover over spatio-temporal evolution of the phenomenon Uncontrolled or semi-controlled mobility of the sensors Adaptive vs. Non-adaptive Non-adaptive: Grid-based methods (GRIB) Adaptive:Adaptive K-means (Ad-KMN) Experimental evaluation over to real datasets Overview of the framework Adaptive K-means

  4. Multi-Model Approximation of Sensor Data(in MDM 2011)

  5. Thank you.Questions?E-mail: saket.sathe@epfl.ch

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