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Jan 1, 2015 · Part of the book series: Lecture Notes in Computer Science ( (LNAI,volume 9101)) This paper studies the problem of finding similar time series of product sales in transactional data.

Swee Chuan Tan, Jess Pei San Lau SIM University, School of Business 535A Clementi Road, Singapore {jamestansc, pslau002}@unisim.edu.sg Abstract. Market Basket Analysis often involves applying the de facto association rule mining …

To address this problem, we summarise a real-world sales transaction data set into time series format. We then use time series clustering to discover commonly purchased items that are useful for pricing or formulating cross-selling strategies.

Dec 15, 2013 · Market Basket Analysis often involves applying the de facto association rule mining method on massive sales transaction data. In this paper, we argue that association rule mining is not always the most suitable method for analysing big market-basket data.

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