This folder contains all of the datasets used in The Definitive Guide.
The datasets are as follow.
This data comes from the United States Bureau of Transportation. Please see the website for more information: https://www.rita.dot.gov/bts/help_with_data/aviation/index.html
Daqing Chen, Sai Liang Sain, and Kun Guo, Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining, Journal of Database Marketing and Customer Strategy Management, Vol. 19, No. 3, pp. 197–208, 2012 (Published online before print: 27 August 2012. doi: 10.1057/dbm.2012.17).
The data was downloaded from the UCI Machine Learning Repository. Please see this page for more information: http://archive.ics.uci.edu/ml/datasets/Online+Retail
This data comes from the Bay Area Bike Share network. Please see this page for more infomation: http://www.bayareabikeshare.com/open-data
Allan Stisen, Henrik Blunck, Sourav Bhattacharya, Thor Siiger Prentow, Mikkel Baun Kjærgaard, Anind Dey, Tobias Sonne, and Mads Møller Jensen "Smart Devices are Different: Assessing and Mitigating Mobile Sensing Heterogeneities for Activity Recognition" In Proc. 13th ACM Conference on Embedded Networked Sensor Systems (SenSys 2015), Seoul, Korea, 2015. [Web Link]
The data was downloaded from the UCI Machine Learning Repository. It is formally known as the Heterogeneity Human Activity Recognition Dataset. Please see this page for more information: https://archive.ics.uci.edu/ml/datasets/Heterogeneity+Activity+Recognition