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SDM
2007
SIAM
140views Data Mining» more  SDM 2007»
15 years 1 months ago
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu
EVOW
2006
Springer
15 years 3 months ago
Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology
Abstract. The increased availability of biological databases containing representations of complex objects permits access to vast amounts of data. In spite of the recent renewed in...
Rocío Romero-Záliz, Cristina Rubio-E...
SIGMOD
2005
ACM
150views Database» more  SIGMOD 2005»
16 years 12 hour ago
BRAID: Stream Mining through Group Lag Correlations
The goal is to monitor multiple numerical streams, and determine which pairs are correlated with lags, as well as the value of each such lag. Lag correlations (and anticorrelation...
Yasushi Sakurai, Spiros Papadimitriou, Christos Fa...
CHI
2004
ACM
16 years 6 days ago
Interactive Comprehensible Data Mining
This paper discusses a novel data mining system devised and developed at Birmingham, which attempts to provide a more effective data mining system. It ties in with the workshop go...
Andy Pryke, Russell Beale
KDD
1998
ACM
102views Data Mining» more  KDD 1998»
15 years 4 months ago
Defining the Goals to Optimise Data Mining Performance
In many data mining problems the definition of what structures in the database are to be regarded as interesting or valuable is given only loosely. Typically this is regarded as a...
Mark G. Kelly, David J. Hand, Niall M. Adams