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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.

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:

84070


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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