A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects

AE Ezugwu, AM Ikotun, OO Oyelade… - … Applications of Artificial …, 2022 - Elsevier
Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

[PDF][PDF] Usage of Machine-based Translation Methods for Analyzing Open Data in Legal Cases.

N Boyko, L Mochurad, U Parpan, O Basystiuk - CybHyg, 2019 - ceur-ws.org
Deep learning has completely changed approaches to machine translation. The initial ways
of building machine translation software were based on rules, the next stage was based on …

[HTML][HTML] Predicting PTSD with Machine Learning: forecasting refugees' trauma and tailored intervention

S Figueiredo, L Ndiaye - European Journal of Trauma & Dissociation, 2025 - Elsevier
Abstract Post-Traumatic Stress Disorder (PTSD) is a mental health condition triggered by
experiencing or witnessing traumatic events. Symptoms of PTSD include intrusive thoughts …

[PDF][PDF] Organizational and Legal Aspects of Managing the Process of Recognition of Objects in the Image.

N Boyko, L Mochurad, I Andrusiak, Y Drevnytskyi - CybHyg, 2019 - ceur-ws.org
The issue of object recognition using ANN models is considered. The object of training is the
YOLO approach for recognizing objects in an image. The subject of training is Keras …

A stochastic logistic sigmoid regression using convex programming and clustering

TA Tuan, TN Thang, VV Hoang… - … on Technologies and …, 2021 - ieeexplore.ieee.org
Logistic regression is one of the regression analysis methods that was studied a long time
ago and its applications are widely used in many classification tasks. In this paper, a …

Diseño y desarrollo de nuevos modelos difusos evolutivos para agrupamiento en entornos de flujos continuos de datos

LA Pérez Martos - 2024 - ruja.ujaen.es
La extracción de conocimiento de datos se enfrenta a grandes retos debido a su
crecimiento exponencial en volumen y complejidad, desafiando a la comunidad científica ya …

[PDF][PDF] Exploratory data analysis of community behavior towards the generation of solid waste using k-means and social indicators

LA Izquierdo Horna, JA Zevallos Ruiz… - 2021 - researchgate.net
Accepted: 3 September 2021 In Peru, solid waste accumulation has been constant for
decades and impacts 72% of local governments, affecting 42% of the population. These …

[PDF][PDF] A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset

YA Zakur, SB Mirashrafi, LR Flaih - Baghdad Science Journal, 2023 - iasj.net
Administrative procedures in various organizations produce numerous crucial records and
data. These records and data are also used in other processes like customer relationship …

Exploring students' learning state through clustering and knowledge graphs

G Ebli - amslaurea.unibo.it
La valutazione dello stato di apprendimento degli studenti è un'area di interesse critica
nell'ambito dell'istruzione. In questo studio, sono state esaminate diverse rappresentazioni …

Competencias de emprendimiento en estudiantes universitarios en Perú: metodología para su desarrollo

LA Izquierdo Horna, JA Aparicio Ballena… - 2021 - alicia.concytec.gob.pe
El objetivo de la investigación es analizar las competencias de emprendimiento en
estudiantes universitarios peruanos, específicamente de una universidad privada del Perú …