Algorithms, data structures and visualization for sequence analysis and prediction

用于序列分析和预测的算法、数据结构和可视化

• 批准号: 435989-2013
• 负责人: FournierViger, Philippe
• 金额: $ 1.46万
• 依托单位: Université de Moncton
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=533403
• 关键词: Algorithms; data; structures; visualization; sequence

Sequences are a common type of data that can be found in numerous domains such as biology, e-learning, market basket analysis, sensor networks, medicine, and meteorology. Such data is often stored in large sequence databases that need to be analyzed. However, analyzing it by hand is time-consuming. It is therefore crucial to develop algorithms for processing large amount of sequential data automatically.

序列是一种常见的数据类型，可以在生物学、电子学习、购物篮分析、传感器网络、医学和气象学等众多领域中找到。此类数据通常存储在需要分析的大型序列数据库中。然而，手动分析它非常耗时。因此，开发自动处理大量序列数据的算法至关重要。