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» Incompleteness in Data Mining
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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
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
13 years 11 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
AIIA
1997
Springer
14 years 2 months ago
Introducing Abduction into (Extensional) Inductive Logic Programming Systems
We propose an approach for the integration of abduction and induction in Logic Programming. In particular, we show how it is possible to learn an abductive logic program starting f...
Evelina Lamma, Paola Mello, Michela Milano, Fabriz...