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ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
15 years 11 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
15 years 11 months ago
Resolving Identity Uncertainty with Learned Random Walks
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
Ted Sandler, Lyle H. Ungar, Koby Crammer
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
15 years 11 months ago
Stacked Gaussian Process Learning
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel...
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ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
15 years 11 months ago
Clustering with Multiple Graphs
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
ADMA
2009
Springer
142views Data Mining» more  ADMA 2009»
15 years 11 months ago
Crawling Deep Web Using a New Set Covering Algorithm
Abstract. Crawling the deep web often requires the selection of an appropriate set of queries so that they can cover most of the documents in the data source with low cost. This ca...
Yan Wang, Jianguo Lu, Jessica Chen
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