Evaluation of Privacy-Utility Tradeoff in Generative Adversarial Network Variants

Published: April 29, 2024

In this digital-driven world, data privacy is of utmost importance, encompassing both individual and corporate needs. Data owners need to share their ensure that users can derive utility from it. However, releasing in its original form pose several risks. One viable solution generate synthetic datasets based on the data, ensuring they provide similar while mitigating concerns. Various methods have been adopted with use Generative Adversarial Networks (GANs) being most popular approach. paper, we generated using different GAN variants evaluated performance terms privacy-utility tradeoff. We compared these against baseline case, where was released form, Gaussian copula method, which models dependence structure between multiple variables. Our analysis indicates Conditional (CTGAN) effective approach for generating tackle tradeoff problem.

Language: Английский

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Excellence in Sales

Gabler eBooks, Journal Year: 2009, Volume and Issue: unknown

Published: Jan. 1, 2009

Successful companies focus on different aspects of their business.Some the strength brand.Others technological product innovations, develop into "solution providers" or commit themselves to commodity, high-volume businesses.Other open international markets.Personal sales relationships with customer play a decisive role in all strategies.The department does not merely assume mediator between suppliers and customers: it actively creates added value for customers.It adds customers through consultation, special offers projects, coordinates performance company.It negotiates fair prices.It also receives support from numerous e-marketing, classical advertising, direct marketing, telephone trade fairs events channels.In addition draws comprehensive research regarding customer.Sophisticated corporate strategies only function when utilises them interacting key customers.Any successful market implementation begins department.

Language: Английский

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Excuse Me Chatgpt & Bard! Can I Trust Your Data Analytical Skills? – a Academician vs Practitioner's Perspective

Published: Jan. 1, 2023

ChatGPT and Google Bard are the latest iterations of real-time Generative Artificial Intelligence, which is designed to tackle complex natural language data analytical skills. The correctness answers provided by yet be validated. This paper compares direct usage outputs against results obtained using traditional academic models. It was concluded that both provide similar or better than statistical Therefore, future practitioners can perform certain types analysis themselves AI without depending on IT departments.

Language: Английский

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A Prediction of Customer Segmentation using Random Forest in RapidMiner

Published: Dec. 13, 2023

Language: Английский

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