Coffee UCR Archive Dataset

This dataset is part of the UCR Archive maintained by University of Southampton researchers. Please cite a relevant or the latest full archive release if you use the datasets. See http://www.timeseriesclassification.com/. Food spectrographs are used in chemometrics to classify food types, a task that has obvious applications in food safety and quality assurance. The coffee data set is a two class problem to distinguish between Robusta and Aribica coffee beans. Further information can be found in the original paper [1]. The data was first used in the time series classification literature in [2]. [1] Briandet et al. Discrimination of Arabica and Robusta in Instant Coffee by Fourier Transform Infrared Spectroscopy and Chemometrics J. Agricultural and Food Chemistry, 44 (1), 1996. [2] Bagnall et al. Transformation Based Ensembles for Time Series Classification, SDM 2012. Donator: K. Kemsley, A. Bagnall本数据集隶属于南安普顿大学研究者维护的UCR档案库（UCR Archive）。若您使用本数据集，请引用相关或最新的完整档案库发布版本，相关信息可访问http://www.timeseriesclassification.com/ 查询。食品光谱图谱常用于化学计量学领域的食品种类分类任务，该任务在食品安全与质量保障领域具备显著应用价值。本咖啡数据集为二分类任务，旨在区分罗布斯塔（Robusta）咖啡豆与阿拉比卡（Arabica）咖啡豆。更多详细信息可参阅原始文献[1]，该数据集首次被应用于时间序列分类研究的文献见于[2]。 [1] Briandet等人. 基于傅里叶变换红外光谱与化学计量学鉴别速溶咖啡中的阿拉比卡与罗布斯塔咖啡豆[J]. 农业与食品化学杂志, 44(1), 1996. [2] Bagnall等人. 面向时间序列分类的变换基集成方法[C]. SDM 2012. 数据集捐赠者：K. Kemsley、A. Bagnall

搜集汇总

背景与挑战

背景概述

该数据集是UCR时间序列档案库的一部分，用于通过食品光谱图进行化学计量学分类，旨在区分罗布斯塔和阿拉比卡咖啡豆，属于二分类问题。数据集包含训练和测试文件，发布于2018年10月，适用于时间序列分类任务。