Time series, statistical computing, data mining

时间序列、统计计算、数据挖掘

• 批准号: 3465-2011
• 负责人: McLeod, AngusIan
• 金额: $ 0.87万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=473716
• 关键词: Time; series; statistical; computing; data

Electrocardiograms, cases of hospital admittance with life-threatening hyperkalemia, daily close price of a stock, the mean monthly carbon dioxide in the atmosphere or mean monthly temperature at a specific location such as Toronto airport are all more or less familiar sequences of values observed at equi-spaced time intervals. Human genes can also be stretched out in a consecutive order similar to the above sequences and their expression levels measured using microarray technology. Our research is focused on the analysis, prediction and classification of such ordered sequences of observations and this is important in many areas of science, applied sciences, medicine and finance.

心电图、因危及生命的高钾血症而入院的病例、股票的每日收盘价、大气中的月平均二氧化碳或特定地点（如多伦多机场）的月平均温度，都是我们或多或少熟悉的在等间隔时间内观察到的数值序列。人类基因也可以以类似于上述序列的连续顺序延伸，并使用微阵列技术测量其表达水平。我们的研究重点是分析，预测和分类的有序序列的观察，这是重要的科学，应用科学，医学和金融的许多领域。