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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
16 years 18 days ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
EDBT
2008
ACM
178views Database» more  EDBT 2008»
16 years 6 months ago
An inductive database and query language in the relational model
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...
Lothar Richter, Jörg Wicker, Kristina Kessler...
BMCBI
2008
121views more  BMCBI 2008»
15 years 6 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
ACSW
2004
15 years 7 months ago
Early Assessment of Classification Performance
The ability to distinguish between objects is the fundamental to learning and intelligent behavior in general. The difference between two things is the information we seek; the pr...
Bostjan Brumen, Izidor Golob, Hannu Jaakkola, Tatj...
CORR
2002
Springer
104views Education» more  CORR 2002»
15 years 6 months ago
Intelligent Search of Correlated Alarms for GSM Networks with Model-based Constraints
In order to control the process of data mining and focus on the things of interest to us, many kinds of constraints have been added into the algorithms of data mining. However, di...
Qingguo Zheng, Ke Xu, Weifeng Lv, Shilong Ma