Mining Olympic Sailing Boat Telemetry Data

挖掘奥运帆船遥测数据

• 批准号: EP/F005903/1
• 负责人: Larry Bull
• 金额: $ 10.14万
• 依托单位: University of the West of England
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FF005903%2F1
• 关键词: Mining; Olympic; Sailing; Boat; Telemetry

Current on-board technology means it is possible to obtain data with respect to around ten aspects of a sailing boat's state per sample point. These include position via GPS, rudder angle, wind angle, wind speed, 3-axis accelerometer, etc. It is possible to derive others thereafter. Video and weather information is also typically available. Thus far adjustments based on such data, if it is utilised at all, have relied upon the interpretation of the coach and/or athletes. It is proposed that the data may contain previously unknown information regarding the variables and boat speed and hence that data mining should be explored. The data mining task is thus one of numerical prediction and a number of well-known approaches will be explored. Thereafter approaches to knowledge discovery will be employed, particularly explicit feature selection and rule extraction in the case of artificial neural networks.

目前的船上技术意味着可以在每个采样点获得关于帆船状态的大约十个方面的数据。这些包括通过GPS的位置，舵角，风角，风速，3轴加速度计等。视频和天气信息通常也是可用的。到目前为止，基于这些数据的调整（如果使用的话）依赖于教练和/或运动员的解释。有人建议，数据可能包含以前未知的信息有关的变量和船的速度，因此，数据挖掘应探讨。因此，数据挖掘任务是数值预测和一些众所周知的方法将被探讨。此后，将采用知识发现的方法，特别是在人工神经网络的情况下明确的特征选择和规则提取。

项目成果

Explorations in Stored Positon Data Derived from Olympic Class Yachts: A Final Report

奥林匹克级游艇存储位置数据的探索：最终报告

• 发表时间: 2008
• 作者: J Holley