Towards Selecting Reducts for Building Decision Rules for Rule-Based Classifiers
Sign Up to like & getrecommendations! Published in 2020 at "Pattern Recognition"
DOI: 10.1007/978-3-030-49076-8_7
Abstract: In rule-based classifiers, calculating all possible rules of a learning sample consumes many resources due to its exponential complexity. Therefore, finding ways to reduce the number and length of the rules without affecting the efficacy… read more here.
Keywords: building decision; rules rule; decision rules; reducts building ... See more keywords
Detection of epilepsy with Electroencephalogram using rule-based classifiers
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DOI: 10.1016/j.neucom.2016.09.080
Abstract: Epilepsy is a common neurological disorder, characterized by recurrent seizures. Electroencephalogram (EEG), a useful measure for analysing the brain's electrical activity, has been widely used for the detection of epileptic seizures. Most existing classification techniques… read more here.
Keywords: epilepsy; detection; group; rule based ... See more keywords
An overview of cardiovascular disease infection: A comparative analysis of boosting algorithms and some single based classifiers
Sign Up to like & getrecommendations! Published in 2020 at "Statistical journal of the IAOS"
DOI: 10.3233/sji-190609
Abstract: Machine learning is a branch of artificial intelligence that helps machines learn from observational data without being explicitly programmed and its methods have been found to be very useful in the modern age for medical… read more here.
Keywords: boosting algorithms; disease infection; single based; cardiovascular disease ... See more keywords
Correlation of Immunological and Histopathological Features with Gene Expression-Based Classifiers in Colon Cancer Patients
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms232012707
Abstract: The purpose of this study was to evaluate the association between four distinct histopathological features: (1) tumor infiltrating lymphocytes, (2) mucinous differentiation, (3) tumor-stroma ratio, plus (4) tumor budding and two gene expression-based classifiers—(1) consensus… read more here.
Keywords: expression based; histopathological features; based classifiers; gene expression ... See more keywords
Improving rule-based classification using Harmony Search
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DOI: 10.7717/peerj-cs.188
Abstract: Classification and associative rule mining are two substantial areas in data mining. Some scientists attempt to integrate these two field called rule-based classifiers. Rule-based classifiers can play a very important role in applications such as… read more here.
Keywords: classification; harmony search; rule based; based classifiers ... See more keywords