Results 231 to 240 of about 21,297 (247)

A new association rule-based text classifier algorithm

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
This paper proposes a new association rule-based text classifier algorithm to improve the prediction accuracy of association rule-based classifier by categories (ARC-BC) algorithm. Unlike the previous algorithms, the proposed association rule generation algorithm constructs two types of frequent itemsets. The first frequent itemsets, i.e.
S. Buddeewong, W. Kreesuradej
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CFAR++: Enhancing Rule Based Classifier

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
Md Rayhan Kabir, Seeratpal Jaura, Osmar R. Zaiane   +2 more
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Evolution of Fuzzy Rule Based Classifiers

2004
The paper presents an evolutionary approach for generating fuzzy rule based classifier. First, a classification problem is divided into several two-class problems following a fuzzy unordered class binarization scheme; next, a fuzzy rule is evolved (not only the condition but the fuzzy sets are evolved (tuned) too) for each two-class problem using a ...
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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 Marszał-Paszek
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Positive and negative generic classification rules-based classifier

International Journal of Knowledge and Learning, 2011
Associative classification is a supervised classification method. Many experimental studies have shown that associative classification is a promising approach. However, the latter suffer from a major drawback: the huge number of the generated classification rules which takes efforts to select the best ones in order to construct the classifier.
Ines Bouzouita, Samir Elloumi
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Efficient Generic Association Rules Based Classifier Approach

2008
Associative classification is a promising new approach that mainly uses association rule mining in classification. However, most associative classification approaches suffer from the huge number of the generated classification rules which takes efforts to select the best ones in order to construct the classifier.
Ines Bouzouita, Samir Elloumi
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Fuzzy Dempster–Shafer reasoning for rule‐based classifiers

International Journal of Intelligent Systems, 1999
In real classification problems intrinsically vague information often coexist with conditions of “lack of specificity” originating from evidence not strong enough to induce knowledge, but only degrees of belief or credibility regarding class assignments.
Elisabetta Binaghi, Paolo Madella
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From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier

2008
Neuro-fuzzy systems show very good performance and the knowledge comprised within their structure is easily interpretable. To further improve their accuracy they can be combined into ensembles. In the paper we combine specially modified Mamdani neuro-fuzzy systems into an AdaBoost ensemble.
Marcin Korytkowski, Leszek Rutkowski, Rafał Scherer   +2 more
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Designing a rule-based classifier using syntactical approach

International Journal of Remote Sensing, 2003
In this research, a rule-based system has been developed for pattern recognition, making use of both statistical and syntactical approaches in classifying remote sensing data. This system attempts to automate the process of recognizing the output patterns from the unsupervised classifier based on a developed syntactic model.
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Integrated Generic Association Rule Based Classifier

18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007
Ines Bouzouita, Samir Elloumi
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