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» Spatial Data Mining: A Database Approach
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116
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DATAMINE
1999
108views more  DATAMINE 1999»
15 years 6 days ago
A Survey of Methods for Scaling Up Inductive Algorithms
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
Foster J. Provost, Venkateswarlu Kolluri
185
Voted
GIS
2005
ACM
16 years 1 months ago
In-network surface simplification for sensor fields
Recent research literature on sensor network databases has focused on finding ways to perform in-network aggregation of sensor readings to reduce the message cost. However, with t...
Brian Harrington, Yan Huang
KDD
2010
ACM
259views Data Mining» more  KDD 2010»
15 years 4 months ago
A probabilistic model for personalized tag prediction
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...
112
Voted
WSDM
2012
ACM
254views Data Mining» more  WSDM 2012»
13 years 8 months ago
Maximizing product adoption in social networks
One of the key objectives of viral marketing is to identify a small set of users in a social network, who when convinced to adopt a product will influence others in the network l...
Smriti Bhagat, Amit Goyal 0002, Laks V. S. Lakshma...
79
Voted
KDD
2010
ACM
188views Data Mining» more  KDD 2010»
15 years 2 months ago
Inferring networks of diffusion and influence
Information diffusion and virus propagation are fundamental processes talking place in networks. While it is often possible to directly observe when nodes become infected, observi...
Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Kra...