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» An Algebraic Approach to Data Mining: Some Examples
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PREMI
2007
Springer
14 years 1 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron
POPL
2006
ACM
14 years 7 months ago
Stratified type inference for generalized algebraic data types
We offer a solution to the type inference problem for an extension of Hindley and Milner's type system with generalized algebraic data types. Our approach is in two strata. T...
François Pottier, Yann Régis-Gianas
FORTEST
2008
13 years 9 months ago
Testing Data Types Implementations from Algebraic Specifications
Algebraic specifications of data types provide a natural basis for testing data types implementations. In this framework, the conformance relation is based on the satisfaction of a...
Marie-Claude Gaudel, Pascale Le Gall
AMINING
2003
Springer
261views Data Mining» more  AMINING 2003»
14 years 19 days ago
Micro View and Macro View Approaches to Discovered Rule Filtering
A data mining system can semi-automatically discover knowledge by mining a large volume of data, but the discovered knowledge is not always novel and may contain unreasonable facts...
Yasuhiko Kitamura, Akira Iida, Keunsik Park
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
14 years 7 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto