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» Interesting Instance Discovery in Multi-Relational Data
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APSCC
2009
IEEE
16 years 2 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»
16 years 1 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»
15 years 8 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
15 years 9 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
208
Voted
PVLDB
2008
127views more  PVLDB 2008»
15 years 6 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