Results 21 to 30 of about 22,758,962 (282)
Constructing decision rules from naive bayes model for robust and low complexity classification
IJAIN (International Journal of Advances in Intelligent Informatics), 2021 A large spectrum of classifiers has been described in the literature. One attractive classification technique is a Naïve Bayes (NB) which has been relayed on probability theory.
Nabeel Hashim Al-Aaraji +2 more
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Ensemble of convolutional neural networks for bioimage classification [PDF]
Applied Computing and Informatics, 2021 This work presents a system based on an ensemble of Convolutional Neural Networks (CNNs) and descriptors for bioimage classification that has been validated on different datasets of color images. The proposed system represents a very simple yet effective
Loris Nanni +2 more
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Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. [PDF]
, 2013 The cAnt-Miner algorithm is an Ant Colony Optimization (ACO) based technique for classification rule discovery in problem domains which include continuous attributes. In this paper, we propose several extensions to cAnt- Miner.
Otero, Fernando E.B. +3 more
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Rule pruning and prediction methods for associative classification approach in data mining [PDF]
Recent studies in data mining revealed that Associative Classification (AC) data mining approach builds competitive classification classifiers with reference to accuracy when compared to classic classification approaches including decision tree and rule ...
Abu Mansour, Hussein Y
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Rule-based fuzzy classifier for spinal deformities
Bio-Medical Materials and Engineering, 2014 In this paper, 2-steps software using image processing and enhancement technologies is developed to obtain a scoliosis patient's spine pattern from 2D coronal X-Ray images without manual land marking. Then, a Rule-based Fuzzy classifier is implemented on those images to classify the spine patterns using the King-Moe classification approach.
Birtane, Sibel, Korkmaz, Hayriye
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Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers
IEEE Access, 2020 This paper aims to produce classifiers that are not only accurate but also interpretable to decision makers. The classifiers are represented in the form of risk scores, i.e.
Diem Pham +3 more
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A review of associative classification mining [PDF]
, 2007 Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers.
Fadi Abdeljaber Thabtah, Thabtah, Fadi
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Proceedings of the Twentieth International Conference on Artificial Intelligence and Law11 pages, 1 figure. Extended version of a short paper accepted to ICAIL 2025. This is the authors' version of the work.
Cecilia Di Florio +2 more
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A Study of Different Classifier Combination Approaches for Handwritten Indic Script Recognition
Journal of Imaging, 2018 Script identification is an essential step in document image processing especially when the environment is multi-script/multilingual. Till date researchers have developed several methods for the said problem.
Anirban Mukhopadhyay +3 more
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Coverage-Based Classification Using Association Rule Mining
Applied Sciences, 2020 Building accurate and compact classifiers in real-world applications is one of the crucial tasks in data mining nowadays. In this paper, we propose a new method that can reduce the number of class association rules produced by classical class association
Jamolbek Mattiev, Branko Kavsek
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