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156
Voted
KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 7 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
157
Voted
ER
2004
Springer
103views Database» more  ER 2004»
15 years 12 months ago
Modeling Default Induction with Conceptual Structures
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
Julien Velcin, Jean-Gabriel Ganascia
ICDE
1998
IEEE
153views Database» more  ICDE 1998»
16 years 7 months ago
Flattening an Object Algebra to Provide Performance
Algebraic transformation and optimization techniques have been the method of choice in relational query execution, but applying them in OODBMS is difficult due to the complexity o...
Peter A. Boncz, Annita N. Wilschut, Martin L. Kers...
EDBT
2006
ACM
130views Database» more  EDBT 2006»
16 years 6 months ago
Querying and Updating Probabilistic Information in XML
Abstract. We present in this paper a new model for representing probabilistic information in a semi-structured (XML) database, based on the use of probabilistic event variables. Th...
Serge Abiteboul, Pierre Senellart
EDBT
2008
ACM
131views Database» more  EDBT 2008»
16 years 6 months ago
A Bayesian approach for on-line max and min auditing
In this paper we consider the on-line max and min query auditing problem: given a private association between fields in a data set, a sequence of max and min queries that have alr...
Gerardo Canfora, Bice Cavallo