Analysing Influence of Race, Ethnicity and Gender as Leading Indicators of Unemployment Rates with Machine Learning and Data Mining Techniques in the Country of USA
Analysing Influence of Race, Ethnicity and Gender as Leading Indicators of Unemployment Rates with Machine Learning and Data Mining Techniques in the Country of USA

Author(s): Özerk Yavuz, Mehmet Çiçek
Subject(s): Gender Studies, Micro-Economics, Labor relations, Demography and human biology, Socio-Economic Research
Published by: Özgür Yayın Dağıtım Ltd. Şti.
Keywords: race; ethnicity; gender; unemployment rates; data mining; USA;
Summary/Abstract: “It takes 20 years to build a reputation and five minutes to ruin it. If you think about that, you’ll do things differently”. Warren Buffett. We are living in an era where the technology is improving so fast. At this point, innovation is very important. Branding is very important. Digital transformation is very important. For sustainability, what we need is Intellectual Property Rights (IPR). We need to feed IPR with Brand Protection (BP), digital support, and legal support. In other words, “DigitaLegal” (Çiçek, 2020).

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