Web1 de out. de 2024 · Few data-pricing models for data markets consider data quality, despite the availability of relevant tools and technologies for assessing and improving data quality. (3) Opaqueness. Pricing strategies are mainly seller-driven, with the cost of data acquisition, cleaning, and packaging being invisible to consumers ( Balazinska, Howe, & … Web1. Michael J. Aitken 1. is the chief scientist at the Capital Markets Cooperative Research Centre and the chair of Capital Markets Technologies in the Australian School of …
Data pricing strategy based on data quality - ScienceDirect
Web19 de jan. de 2024 · [footnote 53] Nonetheless, data protection law, through the General Data Protection Regulation (GDPR), contains the fairness principle, which requires the ICO to intercede on issues where an ... Web25 de fev. de 2024 · We study fairness in the context of feature-based price discrimination in monopoly markets. We propose a new notion of individual fairness, namely, α-fairness, which guarantees that individuals with similar features face similar prices. First, we study discrete valuation space and give an analytical solution for optimal fair feature-based … fishtail wedding dress with skirt
The Fairness Relationship with Trust and Trustworthiness in …
Web5 de ago. de 2024 · Then based on the strategy, a fairness assurance mechanism for quality-driven data marketplace is proposed. In this mechanism, we ensure that savvy … Web31 de out. de 2024 · Machine learning models are widely adopted in scenarios that directly affect people. The development of software systems based on these models raises societal and legal concerns, as their decisions may lead to the unfair treatment of individuals based on attributes like race or gender. Data preparation is key in any machine learning … Webadjustments can be made to guarantee balanced and representative data of the population of interest. Fairness metrics, such as disparate impact [26] or equal opportunity [34], can be applied to measure fairness in the data. In the algorithmic learning and training stage, the ML model can be trained on the transformed data (from the pre-processing fishtail wedding gowns