TCC - Bacharelado em Sistemas da Informação (UAEADTec)
URI permanente para esta coleçãohttps://arandu.ufrpe.br/handle/123456789/2881
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Resultados da Pesquisa
Item Análise do comportamento através dos dados coletados na internet(2021-04-07) Lima, Priscilla Amarante de; Diniz, Juliana Regueira Basto; http://lattes.cnpq.br/0175193064988810; http://lattes.cnpq.br/7284770857817456This work presents an analysis of human behavior through data collected on the internet. They will be confirmed as Big Techs and the Cambridge Analytica case study. We show that digital records of behavior easily obtained, through likes, through Facebook can be used to automatically and accurately predict a range of highly confidential personal attributes, including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, separation from parents, age and sex. The based analysis is based on a data set of more than 58,000 volunteers who provided Facebook likes, detailed demographic profiles and the results of various psychometric tests. The proposed model uses dimensionality reduction to pre-process the tanned data, which is then inserted in linear regression to predict individual psych demographic profiles of tanned. The model correctly discriminates between homosexual and heterosexual men in 88% of cases, African-Americans and Caucasian Americans in 95% of cases, and between Democrats and Republicans in 85% of cases. For the personality trait "Aperture", prediction accuracy is close to the test-retest accuracy of a personality test pattern. We give examples of associations between attributes and likes and discuss it as a conclusion for online personalization and privacy.Item A importância dos Dados Estruturados, Não Estruturados e Semiestruturados os desafios da sua utilização nas organizações brasileiras(2022-02-18) Simões, Rachel Albuquerque Mangueira; França, Sônia Virginia Alves; http://lattes.cnpq.br/6477581135066258; http://lattes.cnpq.br/1476668673947358Due to the continuous advancement of Big Data and the increasing need to achieve competitive advantage in the market, organizations are facing the challenges and the importance of structured and unstructured data in the market, data has its space as the main actor on the role development of software, capable of identifying behavioral patterns of groups of clients, insights and identification of new opportunities. Thanks to this, in this work, the advantages and disadvantages, importance and challenges were raised, based on observational scientific research participant in a natural way, where data collection was necessary to obtain the information, using aspects, analyzing facts and phenomena of the object of study in question, effectively participating in the activities in order to highlight the most relevant points for organizations and society in general.