A5024028270- Data Mining Algorithms and Applications
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Business Process Modeling and Analysis
- Recommender Systems and Techniques
- Complex Network Analysis Techniques
- Service-Oriented Architecture and Web Services
- Web visibility and informetrics
- Model-Driven Software Engineering Techniques
- Online Learning and Analytics
- Advanced Bandit Algorithms Research
- Software System Performance and Reliability
- Cloud Computing and Resource Management
- Human Mobility and Location-Based Analysis
- Plant and animal studies
- Geographic Information Systems Studies
- Distributed systems and fault tolerance
- Time Series Analysis and Forecasting
- Computational Geometry and Mesh Generation
- Plant Diversity and Evolution
- Data Stream Mining Techniques
- Rough Sets and Fuzzy Logic
- Machine Learning and Data Classification
- Opinion Dynamics and Social Influence
- Stock Market Forecasting Methods
Universidade Federal do Rio de Janeiro
2013-2024
Universidade Federal do Estado do Rio de Janeiro
2021
Apis Flora (Brazil)
2018
Technology Applications (United States)
2016
Universidade Federal Rural do Rio de Janeiro
2013
Laboratoire d'Informatique de Paris-Nord
2008-2009
Fundo Brasil
2002
Abstract The Global Strategy for Plant Conservation (GSPC) was established by the Conference of Parties in 2002 to decrease loss plant diversity, reduce poverty and contribute sustainable development. To achieve this overarching goal, GSPC has a series targets, one which is ensure that diversity well understood, so it can be effectively conserved used manner. Brazil hosts more than 46,000 species plants, algae fungi, representing most biodiverse countries on Earth, playing key role GSPC....
Abstract The shortage of reliable primary taxonomic data limits the description biological taxa and understanding biodiversity patterns processes, complicating biogeographical, ecological, evolutionary studies. This deficit creates a significant impediment to research conservation planning. crisis are widely recognized, highlighting urgent need for data. Over past decade, numerous countries worldwide have devoted considerable effort Target 1 Global Strategy Plant Conservation (GSPC), which...
Data normalization is a fundamental preprocessing step for mining and learning from data. However, finding an appropriated method to deal with time series not simple task. This because most of the traditional methods make assumptions that do hold series. The first assumption all are stationary, i.e., their statistical properties, such as mean standard deviation, change over time. second volatility considered uniform. None currently available in literature address these issues. paper proposes...
Predicting the academic progress of student is an issue faced by many public universities in emerging countries. Although, those institutions stores large amounts educational data, they fail to recognize students that are danger leave system. This paper presents a novel architecture uses EDM techniques predict and identify who at dropout risk. approach allows managers monitor each semester, identifying ones difficult fulfill their requirements. shows initial experimental results using real...
A social network is a structure consisting of individuals or organizations, usually represented by nodes tied one more types interdependency relationship. This work focuses on using data mining techniques to identify intra and inter organization groups people with similar profiles that could have relationships amongst them. For this, we construct multi relational scientific where researchers may four different relations each other. In this paper, analyze the scenario in computing science...
Context-Aware Recommender Systems (CARS) have emerged as a different way of providing more precise and interesting recommendations through the use data about context in which consumers buy goods and/or services. CARS consider not only ratings given to items by (users), but also attributes related these ratings. Several algorithms methods been proposed literature order deal with context-aware Although there are lots proposals approaches working for this kind recommendation, adequate public...
STEM is defined as learning in the fields of Science, Technology, Engineering and Mathematics. In Brazil, many students leave educational system before achieving a tertiary degree these fields. Poor academic performance undergraduate courses an issue faced by universities, both developed emerging countries. Although universities store large amounts data, there are few studies about data mining (EDM) software tools designed to aid managers analyzing student improving quality programs. Our...
Many works have been proposed in order to improve the recommendation accuracy. Algorithms aiming accuracy developed and evaluated. These algorithms usually work with training data sets which are learned used make predictions on users' tastes. The set choice is a difficult task not only due technical nature of algorithm used, but also because user issues associated acquisition their opinions, since consist opinions. In this we show importance understanding impacted when rating acquired by...
Social networks are dynamic social structures consisting of individuals or organizations, usually represented by nodes tied one more relationship type. Analyzing these enables us to detect several inter and intra connections between people in outside their organizations. In this context, we construct a multi-relational scientific network where researchers may have four different types relationships with each other. We adopt some criteria such as age order assign weight enable the modeling...
Neural networks is one of the techniques used for time series analysis. The performance neural affected by some parameters such as network structure and quality data preprocessing. These need to be explored in order obtain an optimal network. However, manual establishment different configurations selecting best ones may error-prone time-consuming. This paper proposes creation cartridges systematically empower means mining activities, which structure. experiments conducted this use stock...
Analyzing social iterations in a scientific environment will assist researchers expanding their collaborative networks. Scientific networks represent the researchers' an academic environment. The analysis of these requires detailed study structure and it is important use visual resources order to better understanding how occur. In this paper we centrality metrics clustering algorithm analyze Brazilian network. A network visualization tool be used allow collaboration between from different...
The majority of the global population now resides in cities, and this trend continues to grow. In context, Internet Things (IoT) is crucial transforming existing urban areas into Smart Cities. However, IoT architectures mainly focus on machine-to-machine interactions, leaving human involvement aside. Everything (IoE) includes human-to-human human–machine collaboration, but specifics these interactions are still under-explored. As populations grow integrates city infrastructure, efficient,...