DUNE 2007
Program Details
Date: 08:30 - 18:00, 28 October 2007
Venue: Room "Big Blue C" (Room H)
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Session 1: Probabilistic Databases |
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8:30 |
Welcome and Introduction |
| 8:35 |
Granularity Conscious Modeling for Probabilistic Databases Eirinaios Michelakis, Daisy Zhe Wang, Minos Garofalakis, and Joseph Hellerstein |
| 9:05 |
Representing Tuple and Attribute Uncertainty in Probabilistic Databases Prithviraj Sen, Amol Deshpande, and Lise Getoor |
| 9:35 |
Incremental Integration of Probability Models Learned from Data Jian Xu, Pedrito Maynard-Zhang, and Jianhua Chen |
| 10:05 |
- Coffee Break - |
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Session 2: Pattern Discovery |
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| 10:30 |
Error-Aware Density-Based Clustering of Imprecise Measurement Values Dirk Habich, Peter-Benjamin Volk, Wolfgang Lehner, Ralf Dittmann, and Clemens Utzny |
| 11:00 | Reducing
UK-means to K-means Sau Dan Lee, Ben Kao, and Reynold Cheng |
| 11:30 | Efficient
Mining of Frequent Patterns from Uncertain Data Carson K. Leung, Chris Carmichael, and Boyu Hao |
| 12:00 |
- Lunch Break - |
| 1:30 | Keynote Speech:
Uncertainty in bioimage databases: querying and mining challenges Prof. Ambuj Singh (University of California at Santa Barbara) [Abstract] |
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Session 3: Bayesian Networks |
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| 2:20 | An
Alternative Method for Performing Conditional Simulation Using a
Counterpropagation Network Lance Besaw and Donna Rizzo |
| 2:50 | Segmenting
multi-attribute sequences using dynamic Bayesian networks Robert Gwadera, Janne Toivola, and Jaakko Holmen |
| 3:20 |
- Coffee Break - |
| 4:00 | A Novel
Ordering-based Greedy Bayesian Network Learning Algorithm on Limited Data Feng Liu and Qiliang Zhu |
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Session 4: Classification |
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| 4:30 | Targeting
Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs Erika Vilches Gonzalez, Ivan Alejandro Escobar Broitman, Edgar E. Vallejo, and Charles E. Taylor |
| 5:00 | Genre
categorization of web pages Chaker Jebari and Habib Ounelli |
| 5:30 | Skewed
class Distributions and Mislabeled Examples Jason Van Hulse, Taghi Khoshgoftaar, and Amri Napolitano |
| 6:00 | Closing Remarks |