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DATAMINE
2000
118views more  DATAMINE 2000»
15 years 5 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
15 years 4 months ago
Using data mining techniques to address critical information exchange needs in disaster affected public-private networks
Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how t...
Li Zheng, Chao Shen, Liang Tang, Tao Li, Steven Lu...
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 6 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
PKDD
2005
Springer
89views Data Mining» more  PKDD 2005»
15 years 11 months ago
Numbers in Multi-relational Data Mining
Numeric data has traditionally received little attention in the field of Multi-Relational Data Mining (MRDM). It is often assumed that numeric data can simply be turned into symbol...
Arno J. Knobbe, Eric K. Y. Ho
KDD
2004
ACM
168views Data Mining» more  KDD 2004»
16 years 6 months ago
Mining, indexing, and querying historical spatiotemporal data
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
Nikos Mamoulis, Huiping Cao, George Kollios, Mario...