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- Data Architecture Patterns Description: Data architecture patterns are standardized solutions to common problems in the management and organization of data within computer(...) Read more
- Device Recognition Description: Device recognition refers to the ability of a system to identify and authenticate devices connected to a network or computer(...) Read more
- Device Simulation Description: Device simulation is the process of creating a virtual model of a device to test its functionality. This approach allows developers(...) Read more
- Document Clustering Description: Document clustering is a fundamental technique in the field of information processing and data mining, which involves organizing a(...) Read more
- Detection Algorithm Description: A detection algorithm is a method used to identify anomalies in data. These algorithms are fundamental in data analysis as they(...) Read more
- Density Estimation Description: Density estimation is a statistical technique used to estimate the probability distribution of a dataset. Through this methodology,(...) Read more
- Drift Detection Description: Drift detection is the process of identifying changes in the distribution of data over time. This phenomenon is crucial in the(...) Read more
- Data Simulation Description: Data simulation is the process of creating a model that represents a dataset to analyze its behavior under various conditions. This(...) Read more
- Distributed Simulation Description: Distributed simulation is an approach that allows the execution of complex simulations across multiple interconnected computers,(...) Read more
- Discrete Event Simulation Description: Discrete Event Simulation (DES) is a simulation method that represents the operation of a system as a sequence of events over time.(...) Read more
- Discrimination Description: Discrimination refers to the unfair or prejudicial treatment of different categories of people, often based on characteristics such(...) Read more
- De-biasing Description: Bias deviation refers to the process of identifying and reducing bias in the data or algorithms used in artificial intelligence(...) Read more
- Disparate Impact Description: The 'Disparate Impact' refers to a legal doctrine that addresses how certain practices, policies, or technologies affect different(...) Read more
- Disclosures Description: The term 'disclosures' refers to the act of making information known, especially in the context of data usage. In the field of(...) Read more
- Data Ethics Advisory Board Description: The Data Ethics Advisory Board is a multidisciplinary group that provides guidance on ethical practices in the collection,(...) Read more