Search Results - "Portugal, Ivens"
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A framework for spatial-temporal cluster evolution representation and analysis based on graphs
Published in Scientific reports (27-09-2024)“…Analysis on spatial-temporal data has several benefits that range from an improved traffic network in a city to increased earnings for drivers and ridesharing…”
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Journal Article -
2
A face recognition software framework based on principal component analysis
Published in PloS one (22-07-2021)“…Face recognition, as one of the major biometrics identification methods, has been applied in different fields involving economics, military, e-commerce, and…”
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3
A Framework for Spatial-Temporal Trajectory Cluster Analysis Based on Dynamic Relationships
Published in IEEE access (2020)“…In spatial-temporal data analysis, location data and its evolution through time are investigated with the goal of uncovering important information to provide…”
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4
MylynSDP — Process - aware artifact filtering based on interest
Published in Journal of the Brazilian Computer Society (01-12-2020)“…A software development process is used by software engineers to guide their activities during all phases of the software product development. When executing a…”
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5
The use of machine learning algorithms in recommender systems: A systematic review
Published in Expert systems with applications (01-05-2018)“…•A survey of machine learning (ML) algorithms in recommender systems (RSs) is provided.•The surveyed studies are classified in different RS categories.•The…”
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A Graph-based Analysis Approach to Cluster Lifetime Dynamics
Published in 2022 IEEE International Conference on Big Data (Big Data) (17-12-2022)“…Spatial-temporal data analysis helps uncover value from data that moves through space and time. One such data analysis technique is clustering, which groups…”
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Conference Proceeding -
7
Computational Analysis to Capture Cluster Lifetime Dynamics
Published in 2021 IEEE International Conference on Big Data (Big Data) (15-12-2021)“…Spatial-temporal data analysis aims at uncovering useful insights and patterns from data that is associated with a location and that changes with time…”
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Conference Proceeding -
8
From Spatial-Temporal Cluster Relationships to Lifecycles: Framework and Mobility Applications
Published in 2020 IEEE International Conference on Big Data (Big Data) (10-12-2020)“…Spatial-temporal data analysis relates to the application of data analysis techniques to data where space and time are both relevant. Usually, the results of…”
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Conference Proceeding -
9
Modeling Dynamic Spatial-Temporal Cluster Relationships
Published in 2019 IEEE International Conference on Big Data (Big Data) (01-12-2019)“…Spatial-temporal data refers to potentially massive amounts of data gathered across both space and time. Spatial-temporal data analysis helps uncover the value…”
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Conference Proceeding -
10
Trajectory Cluster Lifecycle Analysis: An Evolutionary Perspective
Published in 2018 IEEE International Conference on Big Data (Big Data) (01-12-2018)“…Cluster analysis has helped to uncover changes over time in numerous studies on the dynamics of entities such as people and groups of animals in areas such as…”
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Conference Proceeding -
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Spatial-Temporal Cluster Relations -- A Foundation for Trajectory Cluster Lifetime Analysis
Published 05-11-2019“…Spatial-temporal data, that is information about objects that exist at a particular location and time period, are rich in value and, as a consequence, the…”
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Journal Article -
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A Software Framework for Cluster Lifecycle Analysis in Transportation
Published in 2018 IEEE International Conference on Big Data (Big Data) (01-12-2018)“…Novel forms of data analysis methods have emerged as a significant research direction in the transportation domain. These methods can potentially help to…”
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Conference Proceeding -
13
A Preliminary Survey on Domain-Specific Languages for Machine Learning in Big Data
Published in 2016 IEEE International Conference on Software Science, Technology and Engineering (SWSTE) (01-06-2016)“…The proliferation of data often called Big Data has created problems with traditional approaches to data capture, storage, analysis and visualization, thus…”
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Conference Proceeding -
14
Cluster Lifecycle Analysis: Challenges, Techniques, and Framework
Published 21-12-2018“…Novel forms of data analysis methods have emerged as a significant research direction in the transportation domain. These methods can potentially help to…”
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Journal Article -
15
Developing a Spatial-Temporal Contextual and Semantic Trajectory Clustering Framework
Published 08-12-2017“…This paper reports on ongoing research investigating more expressive approaches to spatial-temporal trajectory clustering. Spatial-temporal data is…”
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Towards a provenance-aware spatial-temporal architectural framework for massive data integration and analysis
Published in 2016 IEEE International Conference on Big Data (Big Data) (01-12-2016)“…Spatial-temporal computing refers to the modeling, management, and analysis of spatial and temporal information. Despite the recent advances in massive data…”
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Conference Proceeding -
17
A Survey on Domain-Specific Languages for Machine Learning in Big Data
Published 24-02-2016“…The amount of data generated in the modern society is increasing rapidly. New problems and novel approaches of data capture, storage, analysis and…”
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18
Requirements Engineering for General Recommender Systems
Published 16-11-2015“…In requirements engineering for recommender systems, software engineers must identify the data that drives the recommendations. This is a labor-intensive task,…”
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Journal Article -
19
The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review
Published 16-11-2015“…Recommender systems use algorithms to provide users with product or service recommendations. Recently, these systems have been using machine learning…”
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Journal Article