About Eduardo Ogasawara

Website: http://eic.cefet-rj.br/~eogasawara/
eogasawara has written 44 articles so far, you can find them below.

Dissertation defense (May 5, 2020): Gustavo Alexandre Sousa Santos

Student: Gustavo Alexandre Sousa Santos

Title: EvolveDTree: A system of the Educational Data Mining based on Decision Tree and Genetic Algorithm to classify Dropout in Higher Education

Advisors: Diego Nunes Brandão (advisor), Luis Domingues Tomé Jardim Tarrataca (CEFET/RJ) (co-advisor)

Committee: Diego Nunes Brandão (president), Luis Domingues Tomé Jardim Tarrataca (CEFET/RJ), Diego Barreto Haddad (CEFET/RJ), Eduardo Bezerra (CEFET/RJ),  Alexandre Plastino de Carvalho (UFF)

Day/Time: May 5, 2020 / 14h

Room: https://meet.google.com/rpi-zimz-oeo


Education is one of the foundations for the economic and social development of a country. Ensuring that investments in education are made efficiently is a significant challenge for the whole of society. In this regard, one of the major problems of public higher education occurs when students disassociate themselves from the institution without completing the course in which they were enrolled, a phenomenon known as dropout.
As a result, the resources invested in the training of those students end up being lost, representing a significant financial waste. The development of tools that assist in the process of minimizing dropout cases is therefore essential. The present work proposes the development of a system that allows the evaluation of different data mining techniques to classify a student’s tendency to drop out or graduate from the course in which he
is enrolled. The system seeks to identify characteristics that indicate dropout before it occurs, allowing some action to be taken to minimize it. For this purpose, an Educational Data Warehouse (EDW) was developed that enables the integration of educational data from a higher education institution. The results obtained demonstrate that the developed EDW is robust enough to allow several analyzes to be carried out by academic
management. Different classification models were evaluated using different metrics. Of these, the strategy based on decision trees showed the most promise. A dimensionality reduction technique based on a genetic algorithm was also evaluated. This strategy allowed for a reduction in the processing time of the training phase in all the classification assessed models. However, an increase in the total time of the proposed approach
was identified when the preprocessing and training phases were measured simultaneously.


Big Data Management, Integration and Workflows

 Increasingly, organizations seek to analyze the growing number of data available to develop actions that bring competitive advantage and prominence in their field of activity. This process ranges from the correct collection and storage of data to their integration with information obtained from the Web. The data are associated with the organization’s planning, management and […] Continue reading →

Algorithms, Combinatorics and Optimization

 Algorithms are the most fundamental concept of Computer Science. His study refers to basic theories such as Computational Complexity and Computability. On the other hand, the design of algorithms, accompanied by all its paradigms – sequential, parallel, distributed, randomized, approximate, quantum algorithms, among others – allows the application of the computer in solving problems in […] Continue reading →

Text Mining, Affective Computing and Behavioral Analysis

 This project aims to extract knowledge from different unstructured sources about a given domain. In text mining, information is usually obtained by identifying patterns and trends through statistical or machine learning from texts. In this way, the objective in this area focuses on representing texts in the vector space, developing classification algorithms and building applications […] Continue reading →

Machine Learning

 Much of the progress in the task of extracting knowledge from data is obtained through research in machine learning. Two sub-areas of AM are of particular interest in this research project: (i) Deep Learning and (ii) Reinforced Learning. Deep Learning encompasses a set of techniques designed to simulate the behavior of the human brain in […] Continue reading →

Advanced Computational Methods

 The development of computational models for solving complex problems requires the use of methods from different areas of computing. This project foresees the use of signal processing, computational intelligence, numerical methods and high performance computing to solve problems arising in the areas of transportation, telecommunications, health, geophysics, agriculture, internet of things, energy, smart cities, among […] Continue reading →

Dissertation defense (July 12, 2019): Gabriel Nascimento dos Santos

 Student: Gabriel Nascimento dos Santos Title: Treatment of words outside the vocabulary in tasks of analysis of feelings with lexicons Advisors: Gustavo Paiva Guedes e Silva (advisor) Committee: Gustavo Paiva Guedes e Silva (president), Eduardo Bezerra da Silva (CEFET/RJ)  Fellipe Ribeiro Duarte (UFRRJ/RJ), Ronaldo Ribeiro Goldschmidt (IME-RJ) Day/Time: July, 12 / 14h Room: Auditorium 5 […] Continue reading →

Dissertation Defense (08/05/2019): Roberto de Castro Souza Pinto

 Student: Roberto de Castro Souza Pinto Title: Ferramenta Robótica para Trabalho com Fotografia Avançada – TilBOT Advisors: João Roberto de Toledo Quadros (orientador) Committee: João Roberto de Toledo Quadros (presidente), Aline Gesualdi Manhães (CEFET/RJ)  Eduardo Soares Ogasawaa (CEFET/RJ), Joel André Ferreira dos Santos (CEFET/RJ), Paulo Fernando Ferreira Rosa (IME-RJ) Day/Time: May, 8 / 14h Room: […] Continue reading →

Dissertation Defense (28/03/2019): Flavio Matias Damasceno de Carvalho

 Student: Flavio Matias Damasceno de Carvalho Title: Development of the Portuguese LIWC 2015 Dictionary Advisors: Gustavo Paiva Guedes e Silva (CEFET/RJ) Committee: Gustavo Paiva Guedes e Silva (CEFET/RJ) (presidente), Eduardo Soares Ogasawara (CEFET/RJ), Joel André Ferreira dos Santos (CEFET/RJ), Lilian Vieira Ferrari (UFRJ) Day/Time: March 28 / 10h Room: Auditorium V Abstract: A great variety […] Continue reading →

Dissertation Defense (25/02/2019): João Antônio de Ferreira

 Student: João Antônio de Ferreira Title:  An Algebraic framework for Data Analysis Workflows in Apache Spark Advisors: Eduardo Soares Ogasawara (advisor), Rafaelli de Carvalho Coutinho (co-advisor) Committee: Eduardo Soares Ogasawara (CEFET/RJ) (president), Rafaelli de Carvalho Coutinho (CEFET/RJ), Jorge de Abreu Soares (CEFET/RJ), Fabio Andre Machado Porto (LNCC), Leonardo Gresta Paulino Murta (UFF) Day/Time: February 25, 2 […] Continue reading →

Defesa de dissertação (06/02/2019): Rebecca Pontes Salles

 Student: Rebecca Pontes Salles Title:  Benchmarking Nonstationary Time Series Prediction Advisors: Eduardo Soares Ogasawara (advisor), Pedro Henrique González Silva (co-advisor) Committee: Eduardo Soares Ogasawara (Cefet/RJ) (president), Pedro Henrique González Silva (Cefet/RJ), Eduardo Bezerra da Silva (CEFET/RJ), Fabio Andre Machado Porto (LNCC), Florent Masseglia (INRIA) Day/Time: February 6, 9 am Room: Auditorium V Abstract: Data preprocessing […] Continue reading →

Dissertation Defense (05/02/2019): Rodrigo Tavares de Souza

 Student: Rodrigo Tavares de Souza Title:  Appraisal-Spark: An approach to large-scale imputation Guiding: Jorge Abreu Soares (advisor) Bank: Jorge Abreu Soares (CEFET/RJ) (president), Eduardo Soares Ogasawara (CEFET/RJ), Ronaldo Ribeiro Goldschmidt (IME) Day/Time: 05 February/10H Room: Auditorium V Abstract: Continuously grow the volume of stored data and the demand for integration between them. This scenario increases […] Continue reading →

VI Workshop da EIC

 VI Workshop of the School of Informatics and Computing (WEIC)Day: 18/10/2018 – Venue: Auditorium 2 – Schedule: 9h to 12h and 14h to 21:30 Since 2013, the School of Informatics and Computing (EIC), through the program of Graduate In Computer science (PPCIC), has systematically promoted the Workshop of the School of Computer Science and Computing (WEIC). […] Continue reading →

Poscomp 2018

 The national Examination for admission to the post-graduation in computing (POSCOMP) is an examination applied in all regions of the country. POSCOMP tests knowledge in the area of computing and aims to evaluate the knowledge of candidates for postgraduate programs in computing offered in Brazil. The vast majority of post-graduation programs in the country use, […] Continue reading →

Dissertation Defense: Raphael Silva de Abreu

 Student: Raphael Silva de Abreu Title: Authorship of documents Multimedia Interactive based on Synchronization of sensory effects in Relationship To Content Audiovisual Advisors: Joel A. F. Dos Santos, Eduardo Bezerra da Silva (co-advisor) Jury: Joel A. F. Dos Santos (CEFET/RJ) (President), Eduardo Bezerra da Silva (CEFET/RJ), Gustavo Paiva Guedes e Silva (Cefet/RJ), Glauco Fiorott Amorim […] Continue reading →