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Journal of Automation and Information Sciences

年間 12 号発行

ISSN 印刷: 1064-2315

ISSN オンライン: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Definition of Information Core for Documents Classification

巻 50, 発行 4, 2018, pp. 25-34
DOI: 10.1615/JAutomatInfScien.v50.i4.30
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要約

The analysis of the classifiers assessments based on the definition of informational value of classification attributes is carried out. The stages of the preprocessing of documents and the classification of documents based on modern approaches are considered. The classification is performed using both individual classifiers and the component approach of the assembly of classifiers. Assembly of classifiers uses composition to change the training sample and combine the classifiers of different nature. The introduced approach allows us to identify the classification elements that are of informational value and have properties of generalization by evaluating the similarity measure between them based on classification results.

によって引用された
  1. Krak Iurii, Barmak Olexander, Manziuk Eduard, Kudin Hrygorii, Approach to Piecewise-Linear Classification in a Multi-dimensional Space of Features Based on Plane Visualization, in Lecture Notes in Computational Intelligence and Decision Making, 1020, 2020. Crossref

  2. Krak Iurii, Barmak Olexander, Manziuk Eduard, Kulias Anatolii, Data Classification Based on the Features Reduction and Piecewise Linear Separation, in Intelligent Computing and Optimization, 1072, 2020. Crossref

  3. Barmak Olexander, Kalyta Oleg, Manziuk Eduard, Krak Iurii, Simplified Model for Recognition Facial Emotions, 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT), 2019. Crossref

  4. Barmak O.V., Manziuk E.A. , Kalyta O.D. , Krak Iu. , Kuznetsov V.O. , Kulias A.I. , Recognition of emotional expressions using the grouping crowdings of characteristic mimic states, PROBLEMS IN PROGRAMMING, 2-3, 2020. Crossref

  5. Krak Iu., Kruchynin K., Barmak O., Manziuk E., Kruchinin S. P., Visual Analytics in Machine Training Systems for Effective Decision, in Advanced Nanomaterials for Detection of CBRN, 2020. Crossref

  6. Barmak Olexander, Kalyta Oleg, Krak Iurii, Manziuk Eduard, Kuznetsov Vladyslav, Model of the Facial Emotions Expressions Based on Grouping Classes of Feature Vectors, in Lecture Notes in Computational Intelligence and Decision Making, 1246, 2021. Crossref

  7. Barmak Olexander, Manziuk Eduard, Krak Iurii, Using piecewise hyper linear classification in multidimensional feature space for text content, 2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT), 2019. Crossref

  8. Radiuk Pavlo, Barmak Olexander, Krak Iurii, An Approach to Early Diagnosis of Pneumonia on Individual Radiographs based on the CNN Information Technology, The Open Bioinformatics Journal, 14, 1, 2021. Crossref

  9. Mazurets Olexander, Barmak Olexander, Krak Iurii, Manziuk Eduard, Bahrii Ruslan, Method for Adaptive Semantic Testing of Educational Materials Level of Knowledge, in Lecture Notes in Computational Intelligence and Decision Making, 77, 2022. Crossref

  10. Barmak Olexander, Manziuk Eduard, Krak Iurii, Classification Based Hierarchical Clustering Prediction Variability in the Ensembles of Models Using a Statistical Approach, 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT), 2020. Crossref

  11. Krak Iurii, Barmak Olexander, Manziuk Eduard, Using visual analytics to develop human and machine‐centric models: A review of approaches and proposed information technology, Computational Intelligence, 38, 3, 2022. Crossref

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