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» Database Primitives for Spatial Data Mining
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VLDB
2008
ACM
147views Database» more  VLDB 2008»
14 years 11 months ago
Tree-based partition querying: a methodology for computing medoids in large spatial datasets
Besides traditional domains (e.g., resource allocation, data mining applications), algorithms for medoid computation and related problems will play an important role in numerous e...
Kyriakos Mouratidis, Dimitris Papadias, Spiros Pap...
WWW
2008
ACM
14 years 11 months ago
Spatial variation in search engine queries
Local aspects of Web search -- associating Web content and queries with geography -- is a topic of growing interest. However, the underlying question of how spatial variation is m...
Lars Backstrom, Jon M. Kleinberg, Ravi Kumar, Jasm...
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
14 years 4 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
14 years 11 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray
WWW
2010
ACM
14 years 5 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow