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SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
13 years 10 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà
ER
2006
Springer
112views Database» more  ER 2006»
14 years 7 days ago
A DAG Comparison Algorithm and Its Application to Temporal Data Warehousing
Abstract. We present a new technique for discovering and representing structural changes between two versions of a directed acyclic graph (DAG). Motivated by the necessity of chang...
Johann Eder, Karl Wiggisser
BMCBI
2005
121views more  BMCBI 2005»
13 years 8 months ago
Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
Background: A critical step in processing oligonucleotide microarray data is combining the information in multiple probes to produce a single number that best captures the express...
Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghos...
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 9 months ago
Mining relational data through correlation-based multiple view validation
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
Hongyu Guo, Herna L. Viktor
ASC
2011
13 years 3 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa