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KDD
1998
ACM
118views Data Mining» more  KDD 1998»
15 years 11 months ago
A Belief-Driven Method for Discovering Unexpected Patterns
Several pattern discovery methods proposed in the data mining literature have the drawbacks that they discover too many obvious or irrelevant patterns and that they do not leverag...
Balaji Padmanabhan, Alexander Tuzhilin
KR
1998
Springer
15 years 11 months ago
AOL: A logic of Acting, Sensing, Knowing, and Only Knowing
This work is motivated by the existence of two useful but quite different knowledge representation formalisms, the situation calculus due to McCarthy, and the logic OL of only kno...
Gerhard Lakemeyer, Hector J. Levesque
LCPC
1998
Springer
15 years 11 months ago
HPF-2 Support for Dynamic Sparse Computations
There is a class of sparse matrix computations, such as direct solvers of systems of linear equations, that change the fill-in (nonzero entries) of the coefficient matrix, and invo...
Rafael Asenjo, Oscar G. Plata, Juan Touriño...
PAKDD
1998
ACM
158views Data Mining» more  PAKDD 1998»
15 years 11 months ago
Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
Yakov Frayman, Lipo Wang
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
15 years 11 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...
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