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Other relevant literature dealing with the problem of extracting knowledge from customer behaviour can be found in business intelligence.
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Some others focused on the role of the network relationships on knowledge sharing and transferring (Spekman et al. 2002; Dyer and Hatch 2004, 2006; Hult et al. 2004; Wagner and Buko 2005) and on the supplier's standpoint in getting new knowledge from the customer (Modi and Mabert 2007; Håkansson and Ford 2002).
Thus, this paper uses the Apriori algorithm as a methodology for association rules and clustering analysis for data mining, which is implemented for mining customer knowledge from the case firm, Phoenix Tours International, in Taiwan.
Instead of using traditional CBR technique for indexing, retrieval and adaptation, the hybrid CBR ANN approach integrates ANN with the CBR cycle to extract knowledge from service records of the customer service database and subsequently recall the appropriate service records using this knowledge during the retrieval phase.
In [14] it is developed a method for extracting useful knowledge from individual purchase history of customers by combining information fusion techniques with data mining to predict whether a customer switches from one brand to another, or becomes loyal to a brand, and when a customer is likely to defect to a competitor.
Patterns come from the knowledge developed through customer engagements and IBM's vast experience in building out data centers.
"Everything from customer care to shipping".
There were promising signs from customer spending.
Rate of flow goes to customer j from customer i.
Get money from customer.
By offering relevant products and services to customers on an ad-hoc basis (thanks to knowledge from big data), both merchants and financial services companies will continue to thrive while making customers value them more.
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