Identifying Global Patterns of Transshipment Behavior

Identifying Global Exceptional Patterns in Multi-database Mining

In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyze these local patterns to gain global patterns, when putting all the data from the databases into a single dataset can destroy important information that reflect the distribution of global patterns. This paper develop...

Transshipment of Inventories: Dual Allocations vs. Transshipment Prices

We study a newsvendor game with transshipments, in which n retailers face a stochastic demand for an identical product. Before the demand is realized, each retailer independently orders her initial inventory. After the demand is realized, the retailers select an optimal transshipment pattern and ship residual inventories in order to meet residual demands. Unsold inventories are salvaged at the ...

a framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran

the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...

Identifying Interesting Missing Patterns

One of the important issues in data mining is the subjective “interestingness” problem. It has been shown that in many situations a huge number of patterns can be discovered from a database. Most of these patterns are actually useless or uninteresting to the user. But because of the huge number of patterns, it is difficult for the user to identify those patterns that are of interest to him/her....

Identifying the Causes of Behavior