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» Mining Multiple Large Databases
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WWW
2009
ACM
14 years 8 months ago
Mining interesting locations and travel sequences from GPS trajectories
The increasing availability of GPS-enabled devices is changing the way people interact with the Web, and brings us a large amount of GPS trajectories representing people's lo...
Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 2 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
ICDE
2012
IEEE
227views Database» more  ICDE 2012»
11 years 10 months ago
Horizontal Reduction: Instance-Level Dimensionality Reduction for Similarity Search in Large Document Databases
—Dimensionality reduction is essential in text mining since the dimensionality of text documents could easily reach several tens of thousands. Most recent efforts on dimensionali...
Min-Soo Kim 0001, Kyu-Young Whang, Yang-Sae Moon
ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
14 years 1 months ago
Subgraph Support in a Single Large Graph
—Defining the support (or frequency) of a subgraph is trivial when a database of graphs is given: it is simply the number of graphs in the database that contain the subgraph. Ho...
Mathias Fiedler, Christian Borgelt
ICDM
2005
IEEE
272views Data Mining» more  ICDM 2005»
14 years 1 months ago
Mining Patterns of Change in Remote Sensing Image Databases
Remote sensing image databases are the fastest growing archives of spatial information. However, we still have a limited capacity for extracting information from large remote sens...
Marcelino Pereira dos Santos Silva, Gilberto C&aci...