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CIKM
2008
Springer
13 years 9 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
14 years 8 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
SEBD
2003
98views Database» more  SEBD 2003»
13 years 9 months ago
PAtterns for Next-generation DAtabase systems: preliminary results of the PANDA project
Nowadays, the vast volume of collected digital data obliges us to employ processing methods like pattern recognition and data mining in order to reduce the complexity of data manag...
Ilaria Bartolini, Elisa Bertino, Barbara Catania, ...
SDM
2010
SIAM
158views Data Mining» more  SDM 2010»
13 years 9 months ago
On the Use of Combining Rules in Relational Probability Trees
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Daan Fierens
DAWAK
2000
Springer
14 years 13 hour ago
Mining Frequent Binary Expressions
In data mining, searching for frequent patterns is a common basic operation. It forms the basis of many interesting decision support processes. In this paper we present a new type ...
Toon Calders, Jan Paredaens