Fabio Gomes de Andrade
Biographic Data
| ID | 9965072 |
|---|---|
| NAME | Fabio Gomes de Andrade |
| GIVEN NAMES | Fabio Gomes |
| FAMILY NAME | de Andrade |
| SIGNATURE | DE ANDRADE F G |
| AFFILIATIONS | Instituto Federal de Educação Ciência e Tecnologia da Paraíba |
| ORCID | 0000-0003-4894-621X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| 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…
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 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…
No prominent works on this page.
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…
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 …
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 (3 works) · Data Management and Algorithms (3 works) · Trajectory (3 works) · Artificial Intelligence (2 works) · Data mining (2 works) · Geographic Information Systems Studies (2 works) · Human Mobility and Location-Based Analysis (2 works) · Human–computer interaction (2 works) · Information retrieval (2 works) · Adaptability (1 work)