Privacy-preservation has become an essential concern in many data mining applications since the emergence of legal obligations to protect personal data. Thus, the notion of Privacy-Preserving Data Mining emerged to allow the extraction of knowledge from data without violating the privacy of individuals...
Qlikmerges your data in one place (in a secure cloud environment) to create rich, interactive visual analytics. It is designed to maximize a company’s ability to make better decisions by using current and past data. Unlike most other popular platforms that focus on only one solution, Qlik S...
It has been argued that experiential factors such as memory are critical for odor discrimination as opposed to just the chemical features of the stimulus31. Nevertheless, with developments in the field of machine learning, recent years have seen a growing interest in using a data-driven approach ...
Predictive models need to be kept up to date in order to stay effective. Predictive analytics software requires a steady stream of up-to-date information in order to be able to make predictions, since it relies on past data and present data to make accurate forecasts. That’s part of the ...
However, the business is responsible for preserving account security and must act responsibly with the resulting data. Personal information is easily abused and used for fraudulent activities, and the business can be held liable for their failure to maintain privacy and security. ...
Finally, there are ethical considerations that must be taken into account when using big data in predictive analytics. One of the main concerns is privacy. With so much data being collected, there is a risk that personal information could be exposed or misused. Additionally, there is a risk ...
Before using ModelArts to build a predictive analytics model, upload data to OBS. The OBS bucket and ModelArts must be in the same region. For example, if the OBS bucket
American legal system and building on previous scholarship about due process for public administrative computer systems, this Article argues that individuals affected by Big Data should have similar rights to those in the legal system with respect to how their personal data is used in such ...
Background: This paper proposes a framework to cope with the lack of data at the time of a disaster by employing predictive models. The framework can be used for disaster human impact assessment based on the socio-economic characteristics of the affected
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