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» Approximate data mining in very large relational data
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ICDE
2010
IEEE
282views Database» more  ICDE 2010»
16 years 1 months ago
Quantile-Based KNN Over Multi-Valued Objects
K Nearest Neighbor search has many applications including data mining, multi-media, image processing, and monitoring moving objects. In this paper, we study the problem of KNN over...
Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Y...
120
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WWW
2010
ACM
15 years 8 months ago
Empirical comparison of algorithms for network community detection
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
Jure Leskovec, Kevin J. Lang, Michael W. Mahoney
SAC
2004
ACM
15 years 7 months ago
Knowledge discovery from doctor-patient relationship
The relationship between doctors and their patients is gaining more and more importance in the health care providing. It determines the compliance of the treatment and a part of t...
Jesús S. Aguilar-Ruiz, Raquel Costa, Federi...
109
Voted
KDD
2010
ACM
214views Data Mining» more  KDD 2010»
15 years 5 months ago
Neighbor query friendly compression of social networks
Compressing social networks can substantially facilitate mining and advanced analysis of large social networks. Preferably, social networks should be compressed in a way that they...
Hossein Maserrat, Jian Pei
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 2 months ago
Semi-supervised time series classification
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
Li Wei, Eamonn J. Keogh