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Evolving Fuzzy Rule-based Classifiers
2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, 2007A novel approach to on-line classification based on fuzzy rules with an open/evolving structure is introduced in this paper. This classifier can start `from scratch', learning and adapting to the new data samples or from an initial rule-based classifier that can be updated based on the new information contained in the new samples.
Plamen Angelov +2 more
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A Possibilistic Rule-Based Classifier
2012Rule 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 +3 more
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Compact fuzzy association rule-based classifier
Expert Systems with Applications, 2008Classification 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
F PACH, A GYENESEI, J ABONYI
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Protein Superfamily Classification Using Fuzzy Rule-Based Classifier
IEEE Transactions on NanoBioscience, 2009In this paper, we have proposed a fuzzy rule-based classifier for assigning amino acid sequences into different superfamilies of proteins. While the most popular methods for protein classification rely on sequence alignment, our approach is alignment-free and so more human readable.
Eghbal G, Mansoori +2 more
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Using rule-based classifiers in systematic reviews
Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, 2015Systematic review is the scientific process that provides reliable answers to a particular research question by interpreting the current pertinent literature. There is a significant shift from using manual human approach to decision support tools that provides a semi-automated screening phase by reducing the required time and effort to the group of ...
Hamza Sellak +2 more
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SYMBIOTIC EVOLUTION OF RULE BASED CLASSIFIER SYSTEMS
International Journal on Artificial Intelligence Tools, 2009Evolutionary 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 +3 more
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Transparent Deep Rule-Based Classifiers
2018In this chapter, a new type of deep rule-based (DRB) classifier with a multi-layer architecture is presented for image classification, which combines the computer vision techniques with a massively parallel set of zero-order fuzzy rules as its learning engine.
Angelov, P.P., Gu, X.
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The Science of Rule-based Classifiers
2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2019The 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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