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IJCNN
2007
IEEE
14 years 1 months ago
An Associative Memory for Association Rule Mining
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
Vicente O. Baez-Monroy, Simon O'Keefe
CAISE
2010
Springer
13 years 4 months ago
Towards Automated Inconsistency Handling in Design Models
Abstract. The increasing adoption of MDD (Model Driven Development) techniques favored the use of large models of different types. It turns out that when the modeled system gets la...
Marcos Aurélio Almeida da Silva, Alix Mouge...
ICDE
2006
IEEE
194views Database» more  ICDE 2006»
14 years 8 months ago
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors
In applications of biometric databases the typical task is to identify individuals according to features which are not exactly known. Reasons for this inexactness are varying meas...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 7 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
NAACL
2003
13 years 8 months ago
An Analysis of Clarification Dialogue for Question Answering
We examine clarification dialogue, a mechanism for refining user questions with follow-up questions, in the context of open domain Question Answering systems. We develop an algori...
Marco De Boni, Suresh Manandhar