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» Mining Positive and Negative Fuzzy Association Rules
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ICFCA
2007
Springer
15 years 3 months ago
A Parameterized Algorithm for Exploring Concept Lattices
Kuznetsov shows that Formal Concept Analysis (FCA) is a natural framework for learning from positive and negative examples. Indeed, the results of learning from positive examples (...
Peggy Cellier, Sébastien Ferré, Oliv...
EDM
2010
152views Data Mining» more  EDM 2010»
14 years 11 months ago
Mining Students' Interaction Data from a System that Support Learning by Reflection
In this paper we utilising some popular educational data mining (EDM) methods to explore and mine educational data resulted from a system that supports reflection for learning call...
Rajibussalim
ASE
2011
14 years 1 months ago
Alattin: mining alternative patterns for defect detection
Abstract To improve software quality, static or dynamic defect-detection tools accept programming rules as input and detect their violations in software as defects. As these progra...
Suresh Thummalapenta, Tao Xie
PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
15 years 1 months ago
Efficient Detection of Local Interactions in the Cascade Model
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
Takashi Okada
CEC
2008
IEEE
14 years 9 months ago
Design and implementation of a patterns recognition system for analysis of biological liquids
Given the great amount of data that are generated of the experiments to analyze information of extracted chemical fluids of the brain of a rodent, arises the necessity to design an...
Jose Aguilar, Luis Hernandez, Anny Olivar