Cláudio de Souza Baptista
Biographic Data
| ID | 7576830 |
|---|---|
| NAME | Cláudio de Souza Baptista |
| GIVEN NAMES | Cláudio de Souza |
| FAMILY NAME | Baptista |
| SIGNATURE | BAPTISTA C S |
| AFFILIATIONS | Universidade Federal de Campina Grande |
| ORCID | 0000-0002-2200-1405 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Towards an Extensible and Text-Oriented Analytical Semantic Trajectory Framework
Semantically enriched trajectories have attracted growing interest in recent research, driven by the need for more expressive and context-aware movement data analysis. Two primary approaches have emerged for the storage and management of such data: moving object databases, which operate at the transactional or operational level, and trajectory data warehouses (TDWs), which support analytical processing within decision support systems. Conventiona…
A Machine Learning Approach for Classifying Road Accident Hotspots
Road accidents are a worldwide problem, affecting millions of people annually. One way to reduce such accidents is to predict risk areas and alert drivers. Advanced research has been carried out on identifying accident-influencing factors and potential highway risk areas to mitigate the number of road accidents. Machine learning techniques have been used to build prediction models using a supervised classification based on a labeled dataset. In t…
Similarity Search on Semantic Trajectories Using Text Processing
The use of location-based sensors has increased exponentially. Tracking moving objects has become increasingly common, consolidating a new field of research that focuses on trajectory data management. Such trajectories may be semantically enriched using sensors and social media. This enables a detailed analysis of trajectory behavior patterns. One of the problems in this field is the search for a semantic trajectory database that is flexible and …
A spatiotemporal approach for social media sentiment analysis
The rapid growth of user-generated unstructured data through social media has raised several challenges and research opportunities. These data constitute a rich source of information for sentiment analysis and help the understanding of spontaneously expressed opinions. In the past few years, many scientific proposals have addressed sentiment analysis issues. However, most of them do not take into account both spatial and temporal dimensions, whic…
A Survey on Big Data for Trajectory Analytics
Trajectory data allow the study of the behavior of moving objects, from humans to animals. Wireless communication, mobile devices, and technologies such as Global Positioning System (GPS) have contributed to the growth of the trajectory research field. With the considerable growth in the volume of trajectory data, storing such data into Spatial Database Management Systems (SDBMS) has become challenging. Hence, Spatial Big Data emerges as a data m…
Towards retrieving social events from spatio-temporal photo annotation
An event can be defined as a happening that gathers people with some common goal over a period of time and in a certain place. This paper presents a new method to retrieve social events through annotations in spatio-temporal photo collections, known as STEve-PR (Spatio-Temporal EVEnt Photo Retrieval). The proposed technique uses a clustering algorithm to gather similar photos by considering the location, date and time of the photos. The STEve-PR …
Rodas de pesquisa e formação em educação especial
Objetiva discutir as trajetórias dos estudantes com deficiência por meio da produção acadêmica da educação especial e da documentação oral proveniente de uma ação de investigação e formação a qual envolve três grupos de pesquisa, de três universidades federais brasileiras distintas, que investigam essa área. A abordagem do estudo é de natureza qualitativa, sendo que as análises foram organizadas em três eixos temáticos tratados como dimensões eme…
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Rodas de pesquisa e formação em educação especial
Objetiva discutir as trajetórias dos estudantes com deficiência por meio da produção acadêmica da educação especial e da documentação oral proveniente de uma ação de investigação e formação a qual envolve três grupos de pesquisa, de três universidades federais brasileiras distintas, que investigam essa área. A abordagem do estudo é de natureza qualitativa, sendo que as análises foram organizadas em três eixos temáticos tratados como dimensões eme…
Towards retrieving social events from spatio-temporal photo annotation
An event can be defined as a happening that gathers people with some common goal over a period of time and in a certain place. This paper presents a new method to retrieve social events through annotations in spatio-temporal photo collections, known as STEve-PR (Spatio-Temporal EVEnt Photo Retrieval). The proposed technique uses a clustering algorithm to gather similar photos by considering the location, date and time of the photos. The STEve-PR …
A Survey on Big Data for Trajectory Analytics
Trajectory data allow the study of the behavior of moving objects, from humans to animals. Wireless communication, mobile devices, and technologies such as Global Positioning System (GPS) have contributed to the growth of the trajectory research field. With the considerable growth in the volume of trajectory data, storing such data into Spatial Database Management Systems (SDBMS) has become challenging. Hence, Spatial Big Data emerges as a data m…
A spatiotemporal approach for social media sentiment analysis
The rapid growth of user-generated unstructured data through social media has raised several challenges and research opportunities. These data constitute a rich source of information for sentiment analysis and help the understanding of spontaneously expressed opinions. In the past few years, many scientific proposals have addressed sentiment analysis issues. However, most of them do not take into account both spatial and temporal dimensions, whic…
Similarity Search on Semantic Trajectories Using Text Processing
The use of location-based sensors has increased exponentially. Tracking moving objects has become increasingly common, consolidating a new field of research that focuses on trajectory data management. Such trajectories may be semantically enriched using sensors and social media. This enables a detailed analysis of trajectory behavior patterns. One of the problems in this field is the search for a semantic trajectory database that is flexible and …
A Machine Learning Approach for Classifying Road Accident Hotspots
Road accidents are a worldwide problem, affecting millions of people annually. One way to reduce such accidents is to predict risk areas and alert drivers. Advanced research has been carried out on identifying accident-influencing factors and potential highway risk areas to mitigate the number of road accidents. Machine learning techniques have been used to build prediction models using a supervised classification based on a labeled dataset. In t…
Towards an Extensible and Text-Oriented Analytical Semantic Trajectory Framework
Semantically enriched trajectories have attracted growing interest in recent research, driven by the need for more expressive and context-aware movement data analysis. Two primary approaches have emerged for the storage and management of such data: moving object databases, which operate at the transactional or operational level, and trajectory data warehouses (TDWs), which support analytical processing within decision support systems. Conventiona…
Computer Science (6 works) · Artificial Intelligence (5 works) · Data Management and Algorithms (4 works) · Data mining (4 works) · Information retrieval (4 works) · Human Mobility and Location-Based Analysis (3 works) · Trajectory (3 works) · Data science (2 works) · Geographic Information Systems Studies (2 works) · Human–computer interaction (2 works)