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» Fuzzy sets in machine learning and data mining
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ASC
2011
12 years 11 months ago
Fuzzy sets in machine learning and data mining
Machine learning, data mining, and several related research areas are concerned with methods for the automated induction of models and the extraction of interesting patterns from ...
Eyke Hüllermeier
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
13 years 8 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang
RSCTC
2000
Springer
185views Fuzzy Logic» more  RSCTC 2000»
13 years 8 months ago
A Comparison of Several Approaches to Missing Attribute Values in Data Mining
: In the paper nine different approaches to missing attribute values are presented and compared. Ten input data files were used to investigate the performance of the nine methods t...
Jerzy W. Grzymala-Busse, Ming Hu
ICNC
2005
Springer
13 years 10 months ago
Credit Rating Analysis with AFS Fuzzy Logic
In this paper, we propose a new machine learning approach based on AFS (Axiomatic Fuzzy Sets) fuzzy logic, in attempt to provide a better model with interpretability. First, we wil...
Xiaodong Liu, Wanquan Liu
EUSFLAT
2009
233views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 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