CORDIS Project
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The NESTOR project focuses on developing advanced storage and retrieval systems for sequential data across various fields. By addressing the limitations of current relational databases, it aims to enhance data analysis efficiency for large-scale datasets, enabling better pattern recognition and knowledge extraction.
Sequential data are everywhere, from DNA sequences to astronomical light curves, and from aircraft engine monitoring data to the prices of stock options.
Recent advances in various fields such as those of data storage, networking and sensing technologies, have allowed organizations to gather overwhelming amounts of sequential data at unprecedented speeds.This wealth of information enables analysts to identify patterns, find abnormalities, and extract knowledge.
It is noteworthy that common pract…
UNIVERSITE PARIS CITE
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United States, Cambridge
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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