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20th International Conference on Web Information Systems and Technologies, WEBIST 2024

作者： Felipe Cirqueira Dos Santos, Luiz Vinicius Santana Silva, Marcus Richarlison Ribeiro Dos Santos, Shexmo Gomes Rocha, Fábio Barbosa Da Silva, Elisrenan Postgraduate Program in Computer Science - PROCC/UFS Federal University of Sergipe Av. Mal. Cândido Rondon Rosa Elze São Cristóvão1861 Brazil Computer Estácio University Center of Sergipe R. Teixeira de Freitas 10 Aracaju Salgado Filho Brazil

ISBN: (纸本)9789897587184

In the context of backend development, adopting microservices has brought new challenges to frontend integration, leading to the development of microfrontends. Monolithic frontends go against the principles of microservices specialization, requiring a more modular approach. This study aims to characterize the adoption of micro frontends within microservices. To achieve this, a systematic mapping was conducted across six databases, selecting 32 articles that identified 11 tools for managing applications with micro frontends. The study discusses the increase in complexity and the contexts and conditions for applying micro frontend implementation models. As a contribution, this study outlines the main paths for adopting micro frontends within a microservices architecture, providing valuable insights for software engineering and promoting better integration between the backend and front end. Additionally, it describes the characteristics of micro frontends and the advantages and disadvantages of their adoption, highlighting security concerns, their impact on team collaboration, and how they may affect the organizational structure and team development processes. Copyright © 2024 by SCITEPRESS.

关键词： Mapping

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A Big Data Experiment to Evaluate the Effectiveness of Traditional Machine Learning Techniques Against LSTM Neural Networks in the Hotels Clients Opinion Mining

A Big Data Experiment to Evaluate the Effectiveness of Tradi...

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IEEE International Conference on Big Data

作者： Thiago de Oliveira Lima Methanias Colaço Kleber H. de J. Prado Israel Dias de J. Frederico Resende de Oliveira Postgraduate Program in Computer Science - PROCC - Federal University of Sergipe (UFS) São Cristóvão Sergipe Brazil State of Sergipe’s General Accounting Court (TCE-SE) Aracaju Sergipe Brazil

ISBN: (纸本)9781665445993

Context: Nowadays, client reviews on social networks can be a great source of knowledge extraction for strategic marketing planning. In the tourism area, opinions given by hotel clients in tourism social networks can drive improvements in service. In this context, traditional text mining techniques and new deep learning technologies should be tried out to select the best options for classifying opinions. Objective: Evaluate the performance and quality of the LDA (Latent Dirichlet Allocation), Naives Bayes (NB), Logistic Regression, SVM (Support Vector Machine) and LSTM - Long Short-Term Memory Units algorithms in the task of opinion mining of hotel reviews published on the TripAdvisor hotel booking website. Method: An In Vivo Controlled Experiment (Case Study) to compare the performance of the classifiers by means of accuracy, precision, recall, F1-measure and average training and classification times. Results: The LSTM model presented the best results regarding quality metrics. However, it did not present satisfactory results regarding processing time. Conclusion: The LSTM classifier had clearly superior performance when compared to the other evaluated ones. On the other hand, its average training and classification times greater than the others classifiers considered.

关键词： Training Support vector machines Text mining Sentiment analysis Social networking (online) Neural networks Big Data

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An Experimental Evaluation of the NeuroMessenger: A Collaborative Tool to Improve the Empathy of Text Interactions

An Experimental Evaluation of the NeuroMessenger: A Collabor...

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IEEE Symposium on computers and Communications (ISCC)

作者： Breno Santana Santos Methanias Colaqo Junior Janisson Gois de Souza Postgraduate Program in Computer Science (PROCC) Federal University of Sergipe (UFS) Sao Cristovao /SE Brazil Competitive Intelligence Research and Practice Group (NUPIC) Federal University of Sergipe (UFS) Itabaiana/SE Brazil

Empathy plays an important role in social interactions, for example, in effective teaching-learning processes in teacher-student relationships, and in the company-client or employee-customer relationships, retaining potential partners and providing them with greater satisfaction. In parallel, the computer-Mediated Communication (CMC) support people in their interactions, especially when the interlocutors are geographically distant from one another. In CMC, there are several approaches to promote empathy in social or human computer interactions. However, for this type of communication, a little explored mechanism to gain empathy is the use of the theory of Neurolinguistics that presents the possibility of developing a Preferred Representation System (PRS) for cognition in humans. In this context, this paper presents an experimental evaluation of the NeuroMessenger, a collaborative messenger library that uses Neurolinguistics, Psychometry and Text Mining to promote empathy among interlocutors, from the PRS identification and suggestion of textual matching. The results showed that the performance with the use of NeuroMessenger, in favor of empathy, was higher, as well as there was an evidence statistically significant of the difference between the distribution of grades in the empathy evaluation, in favor of NeuroMessenger. Despite the results are satisfactory, more research on textual matching to gain empathy is needed.

关键词： Collaboration computers Tools Libraries Instruments Cognition Psychology

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Global prevalence and gender inequalities in at least 60 min of self-reported moderate-to-vigorous physical activity 1 or more days per week:An analysis with 707,616 adolescents

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Journal of Sport and Health science 2024年第5期13卷 709-716页

作者： Raphael H.O.Araujo AndrúO.Werneck Clarice L.Martins Luciana L.Barboza Rafael M.Tassitano Nicolas Aguilar-Farias Gilmar M.Jesus Robinson Ramírez-Véelez Riki Tesler Adewale L.Oyeyemi Ellen C.M.Silva Robert G.Weaver Mark S.Tremblay Javier Brazo-Sayavera Grégore I.Mielke Danilo R.P.Silva Graduation Program in Health Sciences Londrina State University(UEL)Londrina 86057-970Brazil Center for Epidemiological Research in Nutrition and Health Department of NutritionSchool of Public HealthUniversidade de Sao Paulo(USP)Sao Paulo 01246-904Brazil Department of Physical Education Federal University of ParaıbaParaıba 58051-900Brazil Research Centre of Physical Activity Health and LeisureFaculty of SportsLaboratory for Integrative and Translational Research in Population Health(ITR)University of PortoPorto 4500Portugal Postgraduate Program in Physical Education University of BrasıliaBrasılia 70910-900Brazil Department of Kinesiology and Community Health University of Illinois at Urbana-ChampaignChampaignIL 61801-3841USA Department of Physical Education Sports and RecreationUniversidad de La FronteraTemuco 4680000Chile Department of Health State University of Feira de SantanaFeira de Santana 44036-900Brazil Navarrabiomed Hospital Universitario de Navarra(HUN)Navarra Institute for Health Research(IdiSNA)Universidad Publica de Navarra(UPNA)Pamplona 31006Spain Facultad de Ciencias de la Educacion Unidad Central del Valle del Cauca(UCEVA)TuluaValle del Cauca 763022Colombia Health Management Department Faculty of Heath sciencesAriel UniversityAriel 40700Israel College of Health Solutions Arizona State UniversityPhoenixAZ 85004USA Arnold School of Public Health University of South CarolinaColumbiaSC 29208USA Healthy Active Living and Obesity Research Group Children’s Hospital of Eastern Ontario Research InstituteOttawaON K1H 8L1Canada Department of Pediatrics University of OttawaOttawaON K1H 8L1Canada Department of Health Sciences Carleton UniversityOttawaON K1S 5B6Canada Department of Sports and Computer Science Universidad Pablo de Olavide(UPO)Seville 41013Spain Centro Universitario Regional Noreste Universidad de la RepublicaRivera 40000Uruguay School of Public Health The University of QueenslandBrisbaneQLD 4006Australia Department of Physical Education

Background:Guidelines recommend that adolescents should accumulate an average of 60 min per day of moderate-to-vigorous physical activity(MVPA).However,using only this cut-off could hide important *** instance,from a population-level point of view,increasing physical activity for those with no or low physical activity could provide more health benefits than increasing physical activity for those with intermediate ***,including a more sensitive cut-point of≥1 days per week could be an additional strategy for identifying those with low access/opportunities for physical activity ***,the current study aims to estimate the prevalence of≥60 min of MVPA≥1 days per week among adolescents globally,and to describe any relevant gender ***:We used representative datasets from 146 countries/territories collected between 2003 and *** was *** were grouped into younger(≤14 years old)and older(>14 years old)*** Poisson regression models were used to identify the relative differences in≥60 min of MVPA≥1 days per week between boys and girls,and random-effects meta-analysis models were used to identify the pooled *** were stratified by country and ***:Approximately 80%of both younger and older adolescents reported≥60 min of MVPA≥1 days per *** prevalence was≥94%in Europe and Central Asia and North America,while the estimates for the other regions were<77%.The prevalence of≥60 min of MVPA≥1 days per week was higher among boys than girls,with the largest differences occurring among the oldest adolescents(Prevalence ratio_(≤14y)=1.04(95%confidence interval(95%CI)):1.03-1.04)*** ratio_(>14y)=1.09(95%CI:1.08-1.10)).Conclusion:Approximately 8 out of 10 adolescents reported accumulating≥60 min of MVPA≥1 days per week,with notable differences between *** differences were observed in several countries,especially among the oldest *** fo

关键词： Global School-based Student Health Survey Health Behaviour Among School-aged Children survey Inequality Surveillance Youth

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A survey with Brazilian companies on the use of Business Intelligence (BI) and a diagnosis on the associated infrastructure and methodologies 20

A survey with Brazilian companies on the use of Business Int...

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20th Ibero-American Conference on Software Engineering, CIbSE 2017

作者： Lima, Adriano Colaço, Methanias Nascimento, Andre Vinicius R.P. Postgraduate Program in Computer Science - PROCC UFS- Federal University of Sergipe São Cristóvao/SE Brazil Faculdade Estacio de Sergipe Aracaju/SE Brazil

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Experimentation in the industry for automation of unit testing in a business intelligence environment 28

Experimentation in the industry for automation of unit testi...

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28th International Conference on Software Engineering and Knowledge Engineering, SEKE 2016

作者： Santos, Igor Peterson Oliveira Nascimento, André Vinícius R. P. Costa, Juli Kelle Góis Júnior, Methanias Colaço Pereira, Wenderson Campos Postgraduate Program in Computer Science - PROCC UFS - Federal University of Sergipe São Cristóvão/SE Brazil Competitive Intelligence Research and Practice Group -NUPIC Information Systems Departament - DSI UFS - Federal University of Sergipe Itabaiana/SE Brazil

ISBN: (纸本)189170639X

This paper presents an approach to automate the selection and execution of previously indentified test cases for loading procedures in Business Intelligence (BI) environments based on Data Warehouse (DW). To verify and validate the approach, a unit test framework was developed. The overall goal is achieve data quality improvement. The specific aim is reduce test effort and, consequently, promote test activities in data warehousing process. A controlled experiment evaluation was carried out to investigate the adequacy of the proposed method for data warehouse procedures development. The results of the experiment show that our approach clearly reduces test effort when compared with manual execution of test cases.

关键词： Data warehouses

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An Experiment in an industrial business intelligence environment to improve data loads maintenance 12

An Experiment in an industrial business intelligence environ...

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12th Brazilian Symposium on Information Systems, SBSI 2016

作者： Costa, Juli Kelle Góis Santosa, Igor Peterson Oliveira Júnior, Methanias Colaço Nascimento, André Vinícius R. P. Postgraduate Program in Computer Science - PROCC UFS - Federal University of Sergipe São Cristóvão/SE Brazil Competitive Intelligence Research and Practice Group - NUPIC Information Systems Departament - DSI UFS - Federal University of Sergipe Itabaiana/SE Brazil

ISBN: (纸本)9788576693178

Business Intelligence (BI) and Data Analytics applications depend on an effective ETL (Extract, Transform and Load) process . This paper presents an approach and a Rapid Application Development (RAD) tool to increase efficiency and effectiveness of ETL programs development and maintenance. Furthermore, it is also described a controlled experiment conducted in industry to carefully evaluated the efficiency and effectiveness of the tool. The results indicate that our approach can indeed be used as method aimed at improving and speed up ETL process maintenance.

关键词： Data warehouses

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Experimentation at Industrial Setting to Improve the Effectiveness of the ETL Procedures Implementation in a Business Intelligence Environment 11

Experimentation at Industrial Setting to Improve the Effecti...

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11th Annual Brazilian Symposium on Information Systems, Information Systems: A computer Socio-Technical Perspective, SBSI 2015

作者： Costa, Juli Kelle Góis Santos, Igor Peterson Oliveira Nascimento, André Vinícius R.P. Júnior, Methanias Colaço Postgraduate Program in Computer Science - PROCC UFS – Federal University of Sergipe SE São Cristóvão Brazil Competitive Intelligence Research and Practice Group – NUPIC Information Systems Departament - DSI UFS – Federal University of Sergipe SE Itabaiana Brazil

Business Intelligence (BI) relies on Data Warehouse (DW), a historical data repository designed to support the decision making process. Without an effective Data Warehouse, organizations cannot extract the data required for information analysis in time to enable more effective strategic, tactical, and operational insights. This paper presents an approach and a Rapid Application Development (RAD) tool to increase efficiency and effectiveness of ETL (Extract, Transform and Load) programs development. An experimental evaluation of the approach is carried out in a controlled experiment that carefully evaluated the efficiency and effectiveness of the tool in an industrial setting. The results indicate that our approach can indeed be used as method aimed at improving ETL process development. © SBC 2015.

关键词： Data warehouses

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Comparing Text Mining Algorithms for Predicting Irregularities in Public Accounts 11

Comparing Text Mining Algorithms for Predicting Irregulariti...

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11th Annual Brazilian Symposium on Information Systems, Information Systems: A computer Socio-Technical Perspective, SBSI 2015

作者： Santos, Breno Santana Júnior, Methanias Colaço da Paixão, Bruno Cruz Santos, Rafael M. Nascimento, André Vinícius R.P. dos Santos, Hallan Cosmo Filho, Wallace H.L. de Medeiros, Arquimedes S.L. Competitive Intelligence Research and Practice Group - NUPIC UFS - Federal University of Sergipe SE Itabaiana Brazil Postgraduate Program in Computer Science - PROCC UFS - Federal University of Sergipe SE São Cristóvão Brazil Court of Accounts of Sergipe - TCE-SE SE Aracaju Brazil

Information systems that support public sector daily activities generate large data sets. As a large proportion of the data in these data sets are text, Text Mining can play an important role in deriving potentially useful and previously unknown information. The overall goal of this paper is evaluate the performance and quality of three text mining classification algorithms applied to detect irregularities in public sector records. To evaluate the algorithms, a tool was designed and a case study was carried out at the Court of Accounts of Sergipe. Performance and Quality metrics were evaluated: mean execution time, accuracy, precision, coverage and F-measure. The results show that the multinomial naive bayes algorithm using inverse document frequency was the best approach to find evidences of travel reimbursement irregularities. © SBC 2015.

关键词： Text processing

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Experimentation at Industrial Setting to Improve the Effectiveness of the ETL Procedures Implementation in a Business Intelligence Environment 2015

Experimentation at Industrial Setting to Improve the Effecti...

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Proceedings of the annual conference on Brazilian Symposium on Information Systems: Information Systems: A computer Socio-Technical Perspective - Volume 1

作者： Juli Kelle Gois Costa Igor Peterson Oliveira Santos Andre Vinicius R. P. Nascimento Methanias Colaco Postgraduate Program in Computer Science - PROCC UFS - Federal University of Sergipe Information Systems Departament - DSI UFS - Federal University of Sergipe UFS - Federal University of Sergipe

关键词： RAD BI Data Warehouse ETL Experimental Software Engineering

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