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AI
1998
Springer
15 years 6 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
EUSFLAT
2009
233views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining
This paper presents SaM, a split and merge algorithm for frequent item set mining. Its distinguishing qualities are an exceptionally simple algorithm and data structure, which not ...
Christian Borgelt, Xiaomeng Wang
SOFSEM
2007
Springer
16 years 17 days ago
Fast Approximate Point Set Matching for Information Retrieval
We investigate randomised algorithms for subset matching with spatial point sets—given two sets of d-dimensional points: a data set T consisting of n points and a pattern P consi...
Raphaël Clifford, Benjamin Sach
CORR
2011
Springer
189views Education» more  CORR 2011»
15 years 1 months ago
Fast Set Intersection in Memory
Set intersection is a fundamental operation in information retrieval and database systems. This paper introduces linear space data structures to represent sets such that their int...
Bolin Ding, Arnd Christian König
ISCI
2011
15 years 1 months ago
Sequential covering rule induction algorithm for variable consistency rough set approaches
We present a general rule induction algorithm based on sequential covering, suitable for variable consistency rough set approaches. This algorithm, called VC-DomLEM, can be used f...
Jerzy Blaszczynski, Roman Slowinski, Marcin Szelag