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PODS
2008
ACM
159views Database» more  PODS 2008»
14 years 9 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
IJCNN
2008
IEEE
14 years 3 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
IJSI
2008
122views more  IJSI 2008»
13 years 9 months ago
Mining Gene Expression Data using Domain Knowledge
Biology is now an information-intensive science and various research areas, like molecular biology, evolutionary biology or environmental biology, heavily depend on the availabilit...
Nicolas Pasquier, Claude Pasquier, Laurent Brisson...
BIODATAMINING
2008
178views more  BIODATAMINING 2008»
13 years 9 months ago
Clustering-based approaches to SAGE data mining
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
Haiying Wang, Huiru Zheng, Francisco Azuaje
PVLDB
2010
135views more  PVLDB 2010»
13 years 7 months ago
Similarity Search and Mining in Uncertain Databases
Managing, searching and mining uncertain data has achieved much attention in the database community recently due to new sensor technologies and new ways of collecting data. There ...
Matthias Renz, Reynold Cheng, Hans-Peter Kriegel, ...