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 …
(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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
РЕКОМЕНДАЦ Page 1 ВІСНИК СХІДНОУКРАЇНСЬКОГО НАЦІОНАЛЬНОГО …