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Sales_Transactions_Dataset_Weekly Data Set
Download: Data Folder, Data Set Description
Abstract: Contains weekly purchased quantities of 800 over products over 52 weeks. Normalised values are provided too.
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Data Set Characteristics: |
Multivariate, Time-Series |
Number of Instances: |
811 |
Area: |
N/A |
Attribute Characteristics: |
Integer, Real |
Number of Attributes: |
53 |
Date Donated |
2017-07-16 |
Associated Tasks: |
Clustering |
Missing Values? |
N/A |
Number of Web Hits: |
111786 |
Source:
James Tan, jamestansc '@' suss.edu.sg, Singapore University of Social Sciences
Data Set Information:
52 columns for 52 weeks; normalised values of provided too.
Attribute Information:
Product_Code
52 weeks: W0, W1, ..., W51.
Normalised vlaues of weekly data: Normalised 0, Normalised 1, ..., Normalised 51
Relevant Papers:
@inproceedings{tan2015finding,
title={Finding similar time series in sales transaction data},
author={Tan, Swee Chuan and San Lau, Pei and Yu, XiaoWei},
booktitle={International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems},
pages={645--654},
year={2015},
organization={Springer, Cham}
}
Citation Request:
@inproceedings{tan2014time,
title={Time series clustering: A superior alternative for market basket analysis},
author={Tan, Swee Chuan and San Lau, Jess Pei},
booktitle={Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)},
pages={241--248},
year={2014},
organization={Springer, Singapore}
}
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