To validate H1, positing that firms that incur higher IP licensing fees with universities/PRIs have lower propensity to repeat licensing transactions, binary logistic regression is performed, as the dependent variable, firm's propensity to repeat licensing is a binary variable, to examine how the independent variable, IP licensing fees, affect the dichotomous outcome.
The Apriori mining algorithm, which is based on cloud computing, implements dual binary encoding on the transaction set and the item set based on the MapReduce model.
The integer constraint expressing the finish time of transactions (7) is the linearization of a maximum operator of the binary condition, which states if a transaction is finished or not.
S. Khudanpur and P. Narayan, "Order Estimation for a Special Class of Hidden Markov Sources and Binary Renewal Processes," in IEEE Transactions on Information Theory, 48 6):1704-1713, 2002.
As it is measured based on binary dummy which reflects cross-border financial transaction restriction, i.e., multiple exchange rate, current account transaction and capital account transaction reported in IMF's AREAER (Chinn and Ito 2008).
The motivation here is that the binary tree structure is able to boost any certificate chaining transaction and accelerate the re-assemble of the "trust graph" after join/leave events.
In this paper, we present on how to manage fragmented database replication and transaction for educational resources-Student Information System (SIS) by using Binary Vote Assignment on Grid Quorum (BVAGQ) fragmented database replication model.
A limitation of traditional association rule mining is that it only works on binary data (i.e., an item was either purchased in a transaction (1) or not (0)).
It is defined as follows: let I = {i 1,i 2 …i n } denote the set of n binary items, and let D = {t 1,t 2 …t m } denote the set of transactions.
The binary vector δ n (t)∈{0,1} is a "flag" which is one for the finish time t=tfin, nof transaction n and zero for all other t.
