Navegando por Assunto "Big data"

Agora exibindo 1 - 3 de 3

Análise de dados do mercado imobiliario utilizando Python para encontrar estatísticas descritivas: uma proposta para contornar o Big Data
(Centro Universitário do Estado do Pará, 2019) Silva, Caio Abdon da; Paixão, Carlos Benedito Pereira da
With the diversification of the Internet in recent years, there has been an increase in the amount of data produced and soon the difficulty arose to analyze them. With this came a new phenomenon in the world of computing that was the Big Data. The objective of this work is to bring an alternative to circumvent this situation through programming, will be addressed as this problem hampers data analysis and will be shown a solution to it. The methodologies used to perform the data analysis were python and its libraries, along with descriptive statistics. Next we will talk about the comparison between the analysis tools against programming. And at the end of this work, it will be shown how to use this method if it was able to improve the data analysis.
Automatizando a extração de dados públicos: mineração de dados aplicada ao Diário Oficial do Estado do Pará
(Centro Universitário do Estado do Pará, 2020) Pereira, Jherson Haryson Almeida; Portugal, Luis enrique Gomes; Ribeiro, Moshe Dayan Sousa; http://lattes.cnpq.br/5200296393526606; Queiroz, Daniele Moura de; http://lattes.cnpq.br/8110165492027989
The Government of the State of Pará discloses its public acts through its Official Gazette, making them available in a format aimed at human consumption. However, the lack of structure of the format provided makes it difficult to analyze data by computer systems, hampering the obtaining of relevant information for inspection in a quick manner. For its solution, a computational model is proposed to synthesize data from the Official Gazette ofthe State of Pará, in a well-defined model, in order to assist systematic analysis supported by computational tools. For this, this work addresses the fundamental processes for a model to be able to structure and extract public information from the State of Pará, as well as the entire process of implementing it, using techniques that allow the extraction of information from unstructured data. Finally, the proposed model managed to achieve the expected objectives, synthesizing the information provided in the Official Gazette of the State of Pará and persisting in a database, making the analysis of data faster and more efficient and faster.
Os benefícios da integração dos sistemas embarcados na indústria 4.0
(Centro Universitário do Estado do Pará, 2020) Pena, Raphael Rossy; Dias, Suzane Alfaia; http://lattes.cnpq.br/9675395702501834; Brito, Itamar Jorge Vilhena de; http://lattes.cnpq.br/5143837732124006; Araújo, Fábio Rocha de; http://lattes.cnpq.br/2407240421934932
The following work makes a brief description of the important moments for the arrival of the new level of industrial development, seeking to point out through studies how the application of embedded systems can help the responsible for the analysis of machinery within the scenario of Industry 4.0, leaving aside the corrective maintenance and giving space for predictive maintenance; due to the monitoring of this type of repair, it seeks an environment with fewer and fewer unexpected stops in the production lines in order to avoid unnecessary expenses within the company, because the interruption in equipment the industry ends up having to stop its production. The text has a description of the social advance generated by the Industrial Revolutions and the insertion of new technologies that aim to help the environment, also seeks to point out how the scenario of embedded systems with support from new technologies ensure a certain autonomy of the machines for the diagnosis of problems, thus ensuring greater durability of equipment within this scenario 4.0, allowing the equipment to be used responsibly until the end of its useful life; pointing out how the Big Data, IoT (IIoT), I.A. and Embedded Systems are interconnected / necessary for the establishment of this new type of industry as well as mentioning the emergence of cyber-physical systems and intelligent networks, and how all these technologies guarantee 4.0 maintenance functionality.