Concept
Extract-transform-load
Publications associées (70)
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Leeds2024Hybrid Simulator for Capturing Dynamics of Synthetic Populations
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This paper presents a novel hybrid framework for generating and updating a synthetic population. We call it hybrid because it combines model-based and data-driven approaches. Existing generators produce a snapshot of synthetic data that becomes outdated ov ...
IEEE2024Optimizing Data Processing for Nanodiamond Based Relaxometry
The nitrogen-vacancy (NV) center in diamond is a powerful and versatile quantum sensor for diverse quantities. In particular, relaxometry (or T1), can be used to detect magnetic noise at the nanoscale. For experiments with single NV centers the analysis of ...
WILEY2023E-Scan: Consuming Contextual Data with Model Plugins
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Extracting value and insights from increasingly heterogeneous data sources involves multiple systems combining and consuming the data. With multi-modal and context-rich data such as strings, text, videos, or images, the problem of standardizing the data mo ...
2023Interactive-time Exploration, Querying, and Analysis of Large High-dimensional Datasets
In the current era of big data, aggregation queries on high-dimensional datasets are frequently utilized to uncover hidden patterns, trends, and correlations critical for effective business decision-making. Data cubes facilitate such queries by employing p ...
EPFL2023A chance-constraint approach for optimizing Social Engagement-based services
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Social Engagement is a novel business model transforming final users of a service from passive into active components. In this framework, people are contacted by a company and they are asked to perform tasks in exchange for a reward. This arises the compli ...
IEEE2022ROXANNE Research Platform: Automate criminal investigations
Petr Motlicek, Maël Fabien, Aravind Krishnan
Criminal investigations require manual intervention of several investigators and translators. However, the amount and the diversity of the data collected raises many challenges, and cross-border investigations against organized crime can quickly impossible ...
ISCA-INT SPEECH COMMUNICATION ASSOC2021Scalable Multi-Query Execution using Reinforcement Learning
Anastasia Ailamaki, Panagiotis Sioulas
The growing demand for data-intensive decision support and the migration to multi-tenant infrastructures put databases under the stress of high analytical query load. The requirement for high throughput contradicts the traditional design of query-at-a-time ...
Association for Computing Machinery2021