Sentence examples for identified purchase from inspiring English sources

Bitcoin's integration into the identified purchase ecosystem both legitimizes the currency and threatens the anonymity features that first fueled its growth.

Woodbine et al [ 15] identified purchase of breeding stock as a risk factor for herd outbreaks in the early phase of the PCVAD epidemics in Great Britain.

Funds for vaccine purchases had to be mobilized, and supplies of PS vaccines had to be identified, purchased, and shipped to epidemic countries.

By overlaying its data on each business' customer and sales database, it can supposedly "reveal who is a friend of whom and identify purchase influence".

We consider secret computation of purchase history data among two companies of different type of business in order to identify purchase patterns without revealing customer information of each company.

In their model, the cloud is assumed to be used as an outsourcing computation resource, and a trusted assayer is involved in order to identify purchase patterns of items X and Y.

Using sk, the assayer decrypts the encrypted result ct to obtain the desired inner product (sum _{i = 1}^{m} x_{i} cdot y_{i}), which enables the assayer to identify purchase patterns of items X and Y.

In particular, the biggest advantage is that tie-up companies can collect market and customers information exceeding the frame of their own type of business, and to use the information for so-called market basket analysis, which is one of the marketing analyses in order to identify purchase patterns (e.g., to identify what items tend to be purchased together, sequentially or by seasons).

Using sk, the assayer decrypts the encrypted result ct to obtain the desired inner product (sum _{i = 1}^{m} x_{i} cdot y_{i}), which enables the assayer to identify purchase patterns of items X and Y.   Figure 1 The secret computation model of purchase history data between two companies proposed in [ 23 ].

"The idea is to identify purchase patterns just the same way we identify them online, except using point-of-sale data," says Han. 42 stops short of actually helping retailers craft those personalized messages, however, but it does work with their preferred mailing systems, she notes.

By overlaying its data on each business' customer and sales database, it can supposedly "reveal who is a friend of whom and identify purchase influence". The business can then target its marketing efforts at the people who, thanks to their online influence, are most likely to convince others to buy the marketer's products.