LIST OF ACCEPTED PAPERS [Slides Included] 
 

[Probabilistic Databases]

Eirinaios Michelakis, Daisy Zhe Wang, Minos Garofalakis, and Joseph Hellerstein, "Granularity Conscious Modeling for Probabilistic Databases"

Prithviraj Sen, Amol Deshpande, and Lise Getoor, "Representing Tuple and Attribute Uncertainty in Probabilistic Databases"

Jian Xu, Pedrito Maynard-Zhang, and Jianhua Chen, "Incremental Integration of Probability Models Learned from Data"

[Pattern Discovery]

Dirk Habich, Peter-Benjamin Volk, Wolfgang Lehner, Ralf Dittmann, and Clemens Utzny, "Error-Aware Density-Based Clustering of Imprecise Measurement Values"

Sau Dan Lee, Ben Kao, and Reynold Cheng, "Reducing UK-means to K-means"

Carson K. Leung C. Carmichael and B. Hao, "Efficient Mining of Frequent Patterns from Uncertain Data"

[Bayesian Networks]

Lance Besaw and Donna Rizzo, "An Alternative Method for Performing Conditional Simulation Using a Counterpropagation Network"

Robert Gwadera, Janne Toivola, and Jaakko Holmen, "Segmenting multi-attribute sequences using dynamic Bayesian networks"

Feng Liu and Qiliang Zhu, "A Novel Ordering-based Greedy Bayesian Network Learning Algorithm on Limited Data"

[Classification]

Erika Vilches Gonzalez, Ivan Alejandro Escobar Broitman, Edgar E. Vallejo, and Charles E. Taylor, "Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs"

Chaker Jebari and Habib Ounelli, "Genre categorization of web pages"

Jason Van Hulse, Taghi Khoshgoftaar, and Amri Napolitano, "Skewed class Distributions and Mislabeled Examples"

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