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» Business Process Understanding: Mining Many Datasets
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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 2 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
AUSDM
2006
Springer
91views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Towards Automated Record Linkage
The field of Record Linkage is concerned with identifying records from one or more datasets which refer to the same underlying entities. Where entity-unique identifiers are not av...
Karl Goiser, Peter Christen
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 5 days ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
DEXA
2004
Springer
91views Database» more  DEXA 2004»
13 years 11 months ago
Efficient Processing of Distributed Iceberg Semi-joins
The Iceberg SemiJoin (ISJ) of two datasets R and S returns the tuples in R which join with at least k tuples of S. The ISJ operator is essential in many practical applications incl...
Mohammed Kasim Imthiyaz, Dong Xiaoan, Panos Kalnis
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
14 years 7 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...