Silveira, João Eduardo de Aquino
TCC (graduação) - Universidade Federal de Santa Catarina, Campus Araranguá, Tecnologias da Informação e Comunicação. / O surfe é uma atividade apaixonante em todo o mundo, mas encontrar as condições ideais de ondas pode ser um desafio. Com o avanço da tecnologia, há uma abundância de dados sobre fatores ambientais e meteorológicos que influenciam a...
Oulhaj, Ziyad Carrière, Mathieu Michel, Bertrand
Unsupervised data representation and visualization using tools from topology is an active and growing field of Topological Data Analysis (TDA) and data science. Its most prominent line of work is based on the so-called Mapper graph, which is a combinatorial graph whose topological structures (connected components, branches, loops) are in correspond...
Duch, Dynil May, Madeth George, Sébastien
The surge in online education has accentuated the importance of practical Learning Analytics (LA) tools, traditionally designed to support educators. In the meantime, a notable gap exists in empowering students directly through user progress insights and reflective components. This paper presents our research effort in designing a novel approach: a...
Mansion, Tom Braud, Raphaël Amrani, Ahmed Chaouche, Sabrina Adjed, Faouzi Cantat, Loïc
DebiAI is an open-source tool designed for data analysis, visualization, as well as evaluation and comparison of machine learning (ML) models. It is intended to be used both at the stage of the project data preparation, and for the evaluation of the ML models performances. It has a rich and user-friendly graphical interface that allows to visualize...
Shatz, Itamar
Statistical methods generally have assumptions (e.g., normality in linear regression models). Violations of these assumptions can cause various issues, like statistical errors and biased estimates, whose impact can range from inconsequential to critical. Accordingly, it is important to check these assumptions, but this is often done in a flawed way...
Da Cunha Lira Ferreira, Carolina
Enhancing operational efficiency and competitiveness in modern manufacturing environment requires the incorporation of Industry 4.0 technology. The Digital Twin is one of its enablers, and it is a transformative tool that can be used to optimize systems, processes, and real assets by using virtual models synchronized with real-time data. However, i...
Lee, Bongshin Marriott, Kim Szafir, Danielle Weber, Gerhard
Data plays an increasingly important role in our lives, and data visualization pervades our world as a means not only to analyze and explore data but also to identify and communicate insights. Most existing data visualizations, however, remain out of reach for many people with disabilities as they are designed on implicit assumptions about people’s...
Gomez Ortega, A. (author) Bourgeois, Jacky (author) Kortuem, G.W. (author)
Most people interact with digital technologies that collect personal data about their behavior and experiences, leaving behind a data trail. The data within this trail is abstract and difficult to interpret; still, people often need to decide about its collection and distribution. Hence, it is paramount to support personal data literacy, for which ...
Andrigueto, Muriel Ricardo Ramos
TCC (graduação) - Universidade Federal de Santa Catarina, Campus Araranguá, Tecnologias da Informação e Comunicação. / Na era digital, onde a informação cresce exponencialmente, a visualização de dados se torna uma técnica crucial para transformar informações textuais complexas em insights acionáveis, essencial para a análise de ideias inovadoras. ...
Priya J, Suji Vijayadharsan, S. Vasumathi, A. Rethika, S.
Published in
ITM Web of Conferences
In contemporary data science and analytics, data clustering is a small bucket that divides computation among various child nodes. The network’s capacity, specialized tools, and applications that cannot be trained quickly are among these methods’ drawbacks. In addition, the IoT-formed Big Data raw data can result in highly heterogeneous and unstruct...