Search Results - ((_ classification) OR (based classification)) problems
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1
An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Ant-Miner is a variant of ant colony optimisation and a prominent intelligent algorithm widely use in rules-based classification. However, the Ant-Miner has overfitting and easily falls into local optima problems which resulted in low classification accuracy and complex classification rules. …”
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2
Text classification using modified multi class association rule
Published 2016“…This paper presents text classification using a modified Multi Class Association Rule Method.The method is based on Associative Classification which combines classification with association rule discovery. …”
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A derivative-free optimization method for solving classification problem
Published 2010“…There is a training set for each class. Those problems occur in a wide range of human activity. One of the most promising ways to data classification is based on methods of mathematical optimization. …”
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An improved associative classification model using fuzzy parameterized soft set-based decision for text classification
Published 2023“…One of the potential text classifiers is the well-known associative classification approach. However, the existing associative classification approach is still prone to some limitations especially when dealing with the problem with too many rules in text classification problem. …”
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5
An improved associative classification model using fuzzy parameterized soft set-based decision for text classification
Published 2023“…One of the potential text classifiers is the well-known associative classification approach. However, the existing associative classification approach is still prone to some limitations especially when dealing with the problem with too many rules in text classification problem. …”
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6
A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
Published 2016“…Data level based methods are meant to solve the imbalanced classification problem based on the idea of making both classes equal in number. …”
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7
Multiclass classification for chest x-ray images based on lesion location in lung zones
Published 2015“…Therefore, it is difficult to classify CXR images which contain many image features.Realizing the problem, we proposed an application method for multiclass classification with SVM to the CXR images based on the lesion position in the lung zones.The multiclass classification application is executed on the CXR images taken from Japan Society of Radiology Technology dataset.Lesion coordinates were selected as the classification input while the lung zones becomes the labels. …”
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8
Classification of Qur’anic topics based on imbalanced classification
Published 2020“…This problem can be occurred in the Qur’anic classification due to the different in the number of verses. …”
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9
Development of preliminary classification system for drug related problem in patients receiving radio pharmaceuticals based on PCNE system V9.1 / Nurulfalahin Daud @ Ibrahim
Published 2022“…However, the data on DRP in this group of patients are still limited. A classification system for drug related problem is necessary to allow the identification and documentation of drug related problem in a systematic way. …”
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10
Several Robust Techniques In Two-Groups Unbiased Linear Classification
Published 2013“…The fundamental difficulty in classification problem is how to assign an observation accurately to the group it belongs. …”
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11
Dengue classification system using clonal selection algorithm / Karimah Mohd
Published 2012“…This project can be improved by making a comparative study on Artificial Immune System and other techniques or algorithms used to solve dengue classification problems.…”
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12
Improved Artificial Neural Network Classification Model based Metaheuristic Optimization for Handwritten Character Recognition
Published 2024“…The problems identified specifically pertain to the classification model, particularly in the context of the Artificial Neural Network (ANN) learning problem, leading to low accuracy in recognizing handwritten characters. …”
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13
A De-noising Scheme for Enhancing Power Quality Problem Classification System Based on Wavelet Transform and Rule-Based Method
Published 2011“…Using the de-noising scheme proposed in this paper, a higher tolerance to noise can be achieved by the Power Quality Problem Classification system.…”
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Logistic regression methods for classification of imbalanced data sets
Published 2012“…Classification of imbalanced data sets is one of the important researches in Data Mining community, since the data sets in many real-world problems mostly are imbalanced class distribution. …”
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16
Application of Optimization Methods for Solving Clustering and Classification Problems
Published 2011“…The focus of this thesis is on solvingclustering and classification problems. Specifically, we will focus on new optimization methods for solving clustering and classification problems. …”
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17
Grid base classifier in comparison to nonparametric methods in multiclass classification
Published 2010“…The method was developed based on the grid structure which was done to create a powerful method for classification. …”
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MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION
Published 2010“…The discussion will detail out the MIC procedures applied and the modified part in solving the classification problem. At the end, the results of proposed framework will be presented, discussed and directions for future work are given.…”
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19
Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach
Published 2009“…In the current research, the new algorithm was tested and applied to the multiclass classification of two or more categories, which are important for handling problems related to practical classification. …”
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20
A direct ensemble classifier for learning imbalanced multiclass data
Published 2013“…In addition, the selected benchmark data, experiments and the results are useful for future research on the imbalanced multiclass classification problem. Furthermore, the DECIML framework was applied to the real world leaf classification problem based on the shape features. …”
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