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ICDM
2006
IEEE
146views Data Mining» more  ICDM 2006»
15 years 3 months ago
Boosting Kernel Models for Regression
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
Ping Sun, Xin Yao
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
15 years 10 months ago
Discovering topical structures of databases
The increasing complexity of enterprise databases and the prevalent lack of documentation incur significant cost in both understanding and integrating the databases. Existing solu...
Wensheng Wu, Berthold Reinwald, Yannis Sismanis, R...
KDD
1998
ACM
84views Data Mining» more  KDD 1998»
15 years 2 months ago
Similarity of Attributes by External Probes
In data mining, similarity or distance between attributes is one of the central notions. Such a notion can be used to build attribute hierarchies etc. Similarity metrics can be us...
Gautam Das, Heikki Mannila, Pirjo Ronkainen
DMKD
2003
ACM
96views Data Mining» more  DMKD 2003»
15 years 3 months ago
Using transposition for pattern discovery from microarray data
We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...
François Rioult, Jean-François Bouli...
VLDB
2010
ACM
144views Database» more  VLDB 2010»
14 years 8 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou