Online-Retail-II-UCI
type: Item
instance of: data set
OpenML dataset ID: 43368
dataset version identifier: 1
description: Context\NThis Online Retail II data set contains all the transactions occurring for a UK-based and registered, non-store online retail between 01/12/2009 and 09/12/2011.The company mainly sells unique all-occasion gift-ware. Many customers of the company are wholesalers.\NContent\NAttribute Information:\NInvoiceNo: Invoice number. Nominal. A 6-digit integral number uniquely assigned to each transaction. If this code starts with the letter 'c', it indicates a cancellation.\NStockCode: Product (item) code. Nominal. A 5-digit integral number uniquely assigned to each distinct product.\NDescription: Product (item) name. Nominal.\NQuantity: The quantities of each product (item) per transaction. Numeric.\NInvoiceDate: Invice date and time. Numeric. The day and time when a transaction was generated.\NUnitPrice: Unit price. Numeric. Product price per unit in sterling ().\NCustomerID: Customer number. Nominal. A 5-digit integral number uniquely assigned to each customer.\NCountry: Country name. Nominal. The name of the country where a customer resides.\NAcknowledgements\NChen, D. Sain, S.L., and Guo, K. (2012), 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. doi: [Web Link].\NChen, D., Guo, K. and Ubakanma, G. (2015), Predicting customer profitability over time based on RFM time series, International Journal of Business Forecasting and Marketing Intelligence, Vol. 2, No. 1, pp.1-18. doi: [Web Link].\NChen, D., Guo, K., and Li, Bo (2019), Predicting Customer Profitability Dynamically over Time: An Experimental Comparative Study, 24th Iberoamerican Congress on Pattern Recognition (CIARP 2019), Havana, Cuba, 28-31 Oct, 2019.\NLaha Ale, Ning Zhang, Huici Wu, Dajiang Chen, and Tao Han, Online Proactive Caching in Mobile Edge Computing Using Bidirectional Deep Recurrent Neural Network, IEEE Internet of Things Journal, Vol…
collection date: 02-12-2019
upload date: 2022-03-23T00:00:00Z
full work available at URL: Online-Retail-II-UCI.arff
OpenML semantic tag: Computer Systems
OpenML semantic tag: Machine Learning
number of binary features: 0
number of features: 8
number of instances: 1067371
number of instances with missing values: 243007
number of missing values: 247481
number of numeric features: 3
number of symbolic features: 0
file format: ARFF
MaRDI profile type: Dataset
description: OpenML dataset with id 43368