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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.
Supaporn Buddeewong, Worapoj Kreesuradej
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Transparent Deep Rule-Based Classifiers

2018
In 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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Visualization of Rules in Rule-Based Classifiers

2012
Interpretation and visualization of the classification models are important parts of machine learning. Rule-based classifiers often contain too many rules to be easily interpreted by humans, and methods for post-classification analysis of the rules are needed. Here we present a strategy for circular visualization of sets of classification rules.
Susanne Bornelöv   +2 more
openaire   +1 more source

Bankruptcy Prediction in Banks by Fuzzy Rule Based Classifier

2006 1st International Conference on Digital Information Management, 2007
In this paper, a fuzzy `if-then' rule based classifier is employed to predict bankruptcy in banks. This classification problem is formulated as a multi objective combinatorial optimization problem, where the rule base size is minimized and classification rate is maximized. Modified threshold accepting is applied to solve this optimization problem.
P. Ravi Kumar, Vadlamani Ravi
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Analysis of Rule-Based Classifiers for IDS in IoT

Lecture Notes in Networks and Systems, 2021
Deepak Kshirsagar
exaly  

Model Driven Classifier Evaluation in Rule-Based System

2013
Rule-based evolutionary systems like learning classifier system are widely used in industry and automation. In some types of problems we have additional information about problem solution. This information can be used in the process of problem solutions.
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Classification of Arrhythmia ECG Signal Using EMD and Rule-Based Classifiers

Smart Innovation, Systems and Technologies, 2022
Binod Kumar Pattanayak
exaly  

ADX Algorithm: a brief description of a rule based classifier

2004
In this paper, a new rule based classifier is presented. ADX is an algorithm for inductive learning and for later classification of objects. As is typical for rule systems, an knowledge representation is easy to understand by a human. The power of ADX algorithm is that rules are not too complicated and learning time increases linearly with the size of ...
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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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A fuzzy if-then rule-based nonlinear classifier

2003
This paper introduces a new classifier design method that is based on a modification of the classical Ho-Kashyap procedure. The proposed method uses the absolute error, rather than the squared error, to design a linear classifier. Additionally, easy control of the generalization ability and robustness to outliers are obtained. ; Next, an extension to a
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