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DEXA
2000
Springer
147views Database» more  DEXA 2000»
14 years 2 months ago
Lattice-Structured Domains, Imperfect Data and Inductive Queries
The relational model, as proposed by Codd, contained the concept of relations as tables composed of tuples of single valued attributes taken from a domain. In most of the early lit...
Sally Rice, John F. Roddick
CIKM
2010
Springer
13 years 8 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
ER
2004
Springer
103views Database» more  ER 2004»
14 years 3 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
LREC
2008
129views Education» more  LREC 2008»
13 years 11 months ago
Induction of Treebank-Aligned Lexical Resources
We describe the induction of lexical resources from unannotated corpora that are aligned with treebank grammars, providing a systematic correspondence between features in the lexi...
Tejaswini Deoskar, Mats Rooth
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
14 years 10 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos