First International Workshop on Knowledge
Discovery from Sensor Data (Sensor-KDD '07)
To be held in conjunction with
'07 Workshop
News
August
12, 2007
San Jose, California, USA
San Jose, California, USA
SensorKDD-
2008 Website
Launched
Feb. 16 , 2008
Knowledge Discovery from Sensor Data to be published in 2008
Oustanding presented papers are being submitted for publication in a top Journal
Program Schedule
Date: August 12, 2007
Duration: Full-day
Final Workshop Program:
| 09:00am - 09:15am | Full Paper 1 Presentation: |
| 09:15am - 09:30am | Full Paper 2 Presentation: Fusion of Vision Inertia Data for Automatic Geo-referencing by Randeniya et al. |
| 09:30am - 10:00am | Poster Papers Presentation @ 5 minutes each: 1) Mixtures of Probabilistic Principal Component Analyzers for Anomaly Detection by Fang and Ganguly 2) Correlation-based Feature Partitioning for Rare Event Detection in Wireless Sensor Networks by Asur and Parthasarathy 3) Unsupervised and supervised compression with PCA in Wireless Sensor Networks by Le Borgne and Bontempi 4) Trade-offs in the use of Bayesian Filtering for Sensor Fusion by Gershman et al. 5) Prediction of Missing Events in Sensor Data Streams using Kalman Filters by Vijayakumar and Plale 6) Mining Sensor Data in Smart Environment for Temporal Activity Prediction by Jakkula and Cook |
| 10:00am - 10:30am | Coffee Break & Poster Viewing Session I |
| 10:30am - 10:45am | 2nd Best Student Paper Presentation: Anomaly Detection in Transportation Corridors using Manifold Embedding by Agovic et al. |
| 10:45am - 11:00am | 1st Best Student Paper Presentation: Spatio-Temporal Analysis on FEMA Situation Updates with Automated Information Extraction by Pan et al. |
| 11:00am - 11:30am | Invited Speaker 1 Talk: Peer-to-Peer Distributed Data Stream Mining and Monitoring by Hillol Kargupta, University of Maryland |
| 11:30am - 12:00Noon | Invited Speaker 2 Talk: New Frontiers and Opportunities in Sensor-driven Knowledge Discovery by Brian Worley, Oak Ridge National Laboratory |
| 12:00Noon - 02:00pm | Lunch (On your own) |
| 02:00pm - 02:30pm | Invited Speaker 3 Talk: A Probabilistic Framework for Mining Distributed Sensory Data under Data Sharing Constraints by Joydeep Ghosh, University of Texas |
| 02:30pm - 03:00pm | Invited Speaker 4 Talk: A General Framework for Mining Massive Data Streams by Pedro Domingos, University of Washington |
| 03:00pm - 03:30pm | Coffee Break & Poster Viewing Session II |
| 03:30pm - 04:00pm | 2nd Best Paper Presentation: Electricity Load Forecast using Data Streams Techniques by Gama and Rodrigues |
| 04:00pm - 04:30pm | 1st Best Paper Presentation: TAG: A Framework for the Discovery of Spatio-Temporal Patterns in Sensor Data by George, Kang, and Shekhar |
| 04:30pm - 05:00pm | Panel Discussion |
Speakers
Papers
Schedule
Information
Program
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