26 search results - page 2 / 6 » An Efficient Algorithm for Inducing Fuzzy Rules from Numeric... |
139
Voted
CORR
2008
Springer
15 years 3 months ago
2008
Springer
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
131
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Fuzzy rule base systems have been successfully used for pattern classification. These systems focus on generating a rule-base from numerical input data. The resulting rule-base ca...
141
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FUZZIEEE
2007
IEEE
15 years 9 months ago
2007
IEEE
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
143
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IFIP12
2008
15 years 4 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
117
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PKDD
2010
Springer
15 years 1 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...