This research is probing into consumers have the transaction risk on e-commerce except we analysis the consumer’s behavior that may cause the supplier’s has business risk, this paper speculates there are some information that can let us to know the risk factor on the business transactions.
This research is to analyze abnormal business by Data Mining technique and statistics method on e-commerce company half-year history transaction logs that more than 65,000 records.
The result discovers there is a powerful relation that between production prime cost and sell price, so we can establish a risk management model for reducing the business risk.
This type e-commerce trade to affiliated basically personal and as general large-scale financial institution financial degree of controlling of materials of member manufacturer, propose matching customer's relation administrative system to mend strongly.
