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» A data mining approach to database compression
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KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 1 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
IDEAS
2003
IEEE
102views Database» more  IDEAS 2003»
15 years 3 months ago
Pushing Quality of Service Information and Requirements into Global Query Optimization
In recent years, a lot of research effort has been dedicated to the management of Quality of Service (QoS), mainly in the fields of telecommunication networks and multimedia syste...
Haiwei Ye, Brigitte Kerhervé, Gregor von Bo...
ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
15 years 2 months ago
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
108
Voted
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
13 years 4 days ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
81
Voted
KDD
2003
ACM
99views Data Mining» more  KDD 2003»
15 years 10 months ago
Fragments of order
High-dimensional collections of 0-1 data occur in many applications. The attributes in such data sets are typically considered to be unordered. However, in many cases there is a n...
Aristides Gionis, Teija Kujala, Heikki Mannila