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» An Algebraic Approach to Data Mining: Some Examples
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ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 11 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
SIGMOD
2005
ACM
150views Database» more  SIGMOD 2005»
16 years 6 months 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...
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
15 years 7 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
ISI
2005
Springer
15 years 11 months ago
Link Analysis Tools for Intelligence and Counterterrorism
Association rule mining is an important data analysis tool that can be applied with success to a variety of domains. However, most association rule mining algorithms seek to discov...
Antonio Badia, Mehmed M. Kantardzic
ICDE
2001
IEEE
141views Database» more  ICDE 2001»
16 years 7 months ago
TAR: Temporal Association Rules on Evolving Numerical Attributes
Data mining has been an area of increasing interests during recent years. The association rule discovery problem in particular has been widely studied. However, there are still so...
Wei Wang 0010, Jiong Yang, Richard R. Muntz