Frequent pattern mining-based sales forecasting

DOI10.1007/S12597-012-0119-9zbMath1353.91037OpenAlexW1974632385MaRDI QIDQ505190

Vijayalakshmi Murlidharan, Bernard Menezes

Publication date: 19 January 2017

Published in: Opsearch (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12597-012-0119-9

zbMATH Keywords

decompositiondata miningfrequent pattern miningsales forecastingtimes seriescombiningMAPE

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Economic time series analysis (91B84)

Uses Software

• TDSL
• SPMF
• TSDL

Cites Work

• Using clustering to improve sales forecasts in retail merchandising
• Time series: theory and methods.
• YULE‐WALKER ESTIMATES FOR CONTINUOUS‐TIME AUTOREGRESSIVE MODELS
• Unnamed Item

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