Time is money: dynamic-model-based time series data-mining for correlation analysis of commodity sales

DOI10.1016/j.cam.2019.112659zbMath1435.62334OpenAlexW2996677520WikidataQ126568060 ScholiaQ126568060MaRDI QIDQ2297097

Hailin Li, Yen-Chun Jim Wu, Ye-Wang Chen

Publication date: 18 February 2020

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2019.112659

zbMATH Keywords

dynamic modelcorrelation analysismarket basket analysiscommodity salestime series data-mining

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Measures of association (correlation, canonical correlation, etc.) (62H20) Economic time series analysis (91B84)

Related Items

Time works well: dynamic time warping based on time weighting for time series data mining

Uses Software

• apcluster
• APCluster

Cites Work

• Clustering by Passing Messages Between Data Points
• A multi-kernel support tensor machine for classification with multitype multiway data and an application to cross-selling recommendations
• Behavior-based clustering and analysis of interestingness measures for association rule mining
• Adaptive cost dynamic time warping distance in time series analysis for classification
• Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an apriori \(+\) local search approach
• Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile
• Error-adaptive modeling of streaming time-series data using radial basis functions
• A geometric analysis of time series leading to information encoding and a new entropy measure
• Clustering of time series data -- a survey
• Time-series data mining