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» Interesting Instance Discovery in Multi-Relational Data
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APSCC
2009
IEEE
14 years 4 months ago
SADI Semantic Web Services -- 'cause you can't always GET what you want!
SADI – Semantic Automated Discovery and Integration – is a set of standards-compliant Semantic Web Service design patterns that exploit the relatively straightforward interfac...
Mark D. Wilkinson, Benjamin P. Vandervalk, E. Luke...
ICDE
2007
IEEE
179views Database» more  ICDE 2007»
14 years 4 months ago
A New ILP-based Concept Discovery Method for Business Intelligence
In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span ove...
Seda Daglar Toprak, Pinar Senkul, Yusuf Kavurucu, ...
SDM
2010
SIAM
283views Data Mining» more  SDM 2010»
13 years 11 months ago
Cascading Spatio-temporal Pattern Discovery: A Summary of Results
Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
Pradeep Mohan, Shashi Shekhar, James A. Shine, Jam...
ASWC
2008
Springer
13 years 11 months ago
Semantically Conceptualizing and Annotating Tables
Abstract. Enabling a system to automatically conceptualize and annotate a human-readable table is one way to create interesting semanticweb content. But exactly "how?" is...
Stephen Lynn, David W. Embley
PVLDB
2008
127views more  PVLDB 2008»
13 years 9 months ago
Discovering data quality rules
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...
Fei Chiang, Renée J. Miller