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KDD
2002
ACM
96views Data Mining» more  KDD 2002»
14 years 10 months ago
A theoretical framework for learning from a pool of disparate data sources
Shai Ben-David, Johannes Gehrke, Reba Schuller
KDD
2003
ACM
112views Data Mining» more  KDD 2003»
14 years 10 months ago
Screening and interpreting multi-item associations based on log-linear modeling
Association rules have received a lot of attention in the data
Daniel Barbará, Xintao Wu, Yong Ye
KDD
1997
ACM
111views Data Mining» more  KDD 1997»
14 years 2 months ago
SIPping from the Data Firehose
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become important issues. Rather than giving a mining algo...
George H. John, Brian Lent
KDD
2002
ACM
146views Data Mining» more  KDD 2002»
14 years 10 months ago
Closed Set Mining of Biological Data
We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
John L. Pfaltz, Christopher M. Taylor
ADMA
2005
Springer
119views Data Mining» more  ADMA 2005»
14 years 3 months ago
Heuristic Scheduling of Concurrent Data Mining Queries
Execution cost of batched data mining queries can be reduced by integrating their I/O steps. Due to memory limitations, not all data mining queries in a batch can be executed toget...
Marek Wojciechowski, Maciej Zakrzewicz