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KDD
2004
ACM
237views Data Mining» more  KDD 2004»
14 years 9 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
EGICE
2006
14 years 19 days ago
Combining Two Data Mining Methods for System Identification
System identification is an abductive task which is affected by several kinds of modeling assumptions and measurement errors. Therefore, instead of optimizing values of parameters ...
Sandro Saitta, Benny Raphael, Ian F. C. Smith
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 9 months ago
BBM: bayesian browsing model from petabyte-scale data
Given a quarter of petabyte click log data, how can we estimate the relevance of each URL for a given query? In this paper, we propose the Bayesian Browsing Model (BBM), a new mod...
Chao Liu 0001, Christos Faloutsos, Fan Guo
ADBIS
1997
Springer
109views Database» more  ADBIS 1997»
14 years 1 months ago
A Graphical Yet Formalized Framework for Specifying View Systems
A graphical formalized language is proposed for specifying systems of views over database schemas. The language is based on the notion of arrow (mapping) between data schemas and ...
Zinovy Diskin, Boris Cadish
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 2 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida