Results 251 to 260 of about 66,699 (304)

SYMBIOTIC EVOLUTION OF RULE BASED CLASSIFIER SYSTEMS

International Journal on Artificial Intelligence Tools, 2009
Evolutionary Algorithms are vastly used in development of rule based classifier systems in data mining where the rule base is usually a set of If-Then rules and an evolutionary trait develops and optimizes these rules. Genetic Algorithm is usually a favorite solution for such tasks as it globally searches for good rule-sets without any prior bias or ...
Ramin Halavati, Saeed Bagheri Shouraki, Sima Lotfi, Pooya Esfandiar   +3 more
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A Possibilistic Rule-Based Classifier

2012
Rule induction algorithms have gained a high popularity among machine learning techniques due to the “intelligibility” of their output, when compared to other “black-box” classification methods. However, they suffer from two main drawbacks when classifying test examples: i) the multiple classification problem when many rules cover an example and are ...
Myriam Bounhas, Henri Prade, Mathieu Serrurier, Khaled Mellouli   +3 more
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Compact fuzzy association rule-based classifier

Expert Systems with Applications, 2008
Classification is one of the most popular data mining techniques applied to many scientific and industrial problems. The efficiency of a classification model is evaluated by two parameters, namely the accuracy and the interpretability of the model. While most of the existing methods claim their accurate superiority over others, their models are usually
Ferenc Peter Pach, Attila Gyenesei, János Abonyi   +2 more
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Classification Confidence Of Fuzzy Rule-Based Classifiers

ECMS 2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho, 2011
In this paper we first introduce the concept of classification confidence in fuzzy rule-based classification. Classification confidence shows the strength of classification for an unseen pattern. Low classification confidence for an unseen pattern means that the classification of that pattern is not very clear compared to that with high classification ...
Tomoharu Nakashima, Ashish Ghosh
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Classifying Categorical Data by Rule-Based Neighbors

2011 IEEE 11th International Conference on Data Mining, 2011
A new learning algorithm for categorical data, named CRN (Classification by Rule-based Neighbors) is proposed in this paper. CRN is a nonmetric and parameter-free classifier, and can be regarded as a hybrid of rule induction and instance-based learning.
Jiabing Wang, Pei Zhang, Guihua Wen, Jia Wei   +3 more
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The Science of Rule-based Classifiers

2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2019
The exponential rise in the amount of data has fueled various facets in data science and data engineering. Classification is a supervised machine learning task that underlies several diagnosis systems and rule-based decision support systems. The efficiency of a rule-based classifier depends on factors such as quality of the rules in the ruleset, rule ...
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Interpretability Assessment of Fuzzy Rule-Based Classifiers

2009
Interpretability is one of the most important driving forces for the adoption of fuzzy rule-based classifiers. However, it is not given for granted, especially when fuzzy models are acquired from data. Therefore, evaluation of interpretability should be regarded as a major research topic.
Corrado Mencar, Ciro Castiello, Anna Maria Fanelli   +2 more
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Multi-objective evolutionary granular rule-based classifiers: An experimental comparison

, 2017
In this paper, we analyze and compare four multi-objective evolutionary granular rule-based classifiers. We learn concurrently the rule base, the most suitable number of granules and their parameters during the evolutionary process.
Pietro Ducange, Francesco Marcelloni
exaly   +2 more sources

Nondeterministic Decision Rules in Rule-Based Classifier

2014
In the paper is discussed the truncated nondeterministic rules and their role in an evaluation of classification model. The nondeterministic rules are created as the result of shorting deterministic rules in accordance with the principle of minimum description length (MDL).
Piotr Paszek, Barbara Marszal-Paszek
openaire   +1 more source