An intelligent algorithm for the (1, 2, 2)-generalized Knight's tour problem

S Bai, GB Zhu, J Huang - 2013 Ninth International Conference …, 2013 - ieeexplore.ieee.org
In [Discrete Applied Mathematics 158 (2010) 1727-1731], we proved that the 3× 4q× 4p
(where q≥ 2 and p≥ 2 are integer) chessboard admits a closed (1, 2, 2)-generalized …

Matrix factorization and contrast analysis techniques for recommendation

M Aleksandrova - 2017 - theses.hal.science
In many application areas, data elements can be high-dimensional. This raises the problem
of dimensionality reduction. The dimensionality reduction techniques can be classified …

Sets of contrasting rules: A supervised descriptive rule induction pattern for identification of trigger factors

M Aleksandrova, A Brun, O Chertov… - 2016 IEEE 28th …, 2016 - ieeexplore.ieee.org
Data mining, through association rules mining, is one of the best known approaches for
patterns identification. However, it results most of the time in a huge set of patterns (rules), so …

[PDF][PDF] Automatic identification of trigger factors: a possibility for chance discovery

M Aleksandrova, A Brun, O Chertov… - 2nd European Workshop …, 2016 - ecai2016.org
Pattern identification in datasets has been the focus of many research works. Data mining,
through association rules mining, is one of the best known approaches. In this paper, we …

Two-step recommendations: contrast analysis and matrix factorization techniques

M Aleksandrova, A Brun, A Boyer… - … машины и системы, 2014 - cyberleninka.ru
Two-step recommendations: contrast analysis and Matrix Factorization techniques – тема
научной статьи по компьютерным и информационным наукам читайте бесплатно …

SCR-Apriori for Mining 'Sets of Contrasting Rules'

M Aleksandrova, O Chertov - Recent Developments and the New Direction …, 2021 - Springer
In this paper, we propose an efficient algorithm for mining novel 'Set of Contrasting Rules'-
pattern (SCR-pattern), which consists of several association rules. This pattern is of high …

Machine learning for understanding complex, interlinked social data

C Little - 2018 - e-space.mmu.ac.uk
With the growing availability of 'big'data, increasing computer power, and improved data
storage capacities, machine learning techniques are now frequently employed in order to …

[PDF][PDF] Застосування методів Data Mining для автоматичного формування рекомендацій

ОР Чертов, МВ Александрова - … університету імені Володимира …, 2013 - irbis-nbuv.gov.ua
ЗАСТОСУВАННЯ МЕТОДІВ DATA MINING ДЛЯ АВТОМАТИЧНОГО ФОРМУВАННЯ
РЕКОМЕНДАЦ Page 1 ВІСНИК СХІДНОУКРАЇНСЬКОГО НАЦІОНАЛЬНОГО …