Mining inter-organizational retailing knowledge for an alliance formed by competitive firms

Mining association rules from imprecise ordinal data

“…Association rule mining is a data mining technique that has been applied to analyze market baskets, helping managers realize which items are likely to be bought at the same time [4,10,15,26]. Many techniques have been developed to discover association rules from databases; the AIS [2] and Apriori [3] algorithms are probably the most well-known ones.…”

From spending to understanding: Analyzing customers by their spending behavior

“…This potentially neglects behavioral variations of people who are more flexible in the use of financial providers. A more adequate consideration of this bias is only possible when customer information is shared by different institutions (Lin et al, 2003). The chosen method of data analysis also proves to be robust against missing data (Kamakura and Wedel, 2000).…”

Multi-level association rules for MP3P marketing strategies based on extensive marketing survey data

“…We analyze association rules using SAS Enterprise Miner. In order to extract effective association rules, the minimum support value was set at 3%, and the minimum confidence value was set at 70% (Lin, Chen, Chen, & Chen, 2002). The characteristic purchase patterns of each cluster are as follows.…”