Answer:
A knowledge sharing system could be establish between rival organizations like Mastercard and Visa in order to improve the services they provide for their clients, as well as to attract more people and earn more money.
Even though it might seem contradictory for rival organizations to work together on sharing knowledge, it's actually not. Mastercard might have something that Visa wants and vice versa so it makes sense for them to collaborate to get what they need.
It is not permissible to sign the documents on the behalf of the other person.
<h3>What is Business Overseas?</h3>
Business Overseas refers to the business with is outside the country often referred as the International Business. It involves the exchange of the goods and services outside the country.
According to the above scenario, Henry has the international business forgets to sign the critical documents in his absence to the particular place he offers his assistant to sign the papers which is not permissible for him to do so.
Learn more about overseas here:
brainly.com/question/15056320
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Answer: No.
Explanation: Consumption is not contentment because one can consume something without been satisfied of that either because it wasn't what was expected as in the taste.
Answer:
The options for this question are the following:
a. 1
b. 2
c. 0.5
d. 1.5
The correct answer is a. 1
.
Explanation:
Group analysis or grouping is the task of grouping a set of objects in such a way that the members of the same group (called a cluster) are more similar, in some sense or another. It is the main task of exploratory data mining and is a common technique in the analysis of statistical data. It is also used in multiple fields such as machine learning, pattern recognition, image analysis, information search and retrieval, bioinformatics, data compression and graphic computing.
Group analysis is not in itself a specific algorithm, but the task pending solution. Clustering can be done using several algorithms that differ significantly in your idea of what constitutes a group and how to find them efficiently. Classical group ideas include small distances between members of the group, dense areas of the data space, intervals or particular statistical distributions. Clustering, therefore, can be formulated as a multi-objective optimization problem. The appropriate algorithm and the values of the parameters (including values such as the distance function to use, a density threshold or the number of expected groups) depend on the set of data analyzed and the use that will be given to the results. Grouping as such is not an automatic task, but an iterative process of data mining or interactive multi-objective optimization that involves trial and failure. It will often be necessary to pre-process the data and adjust the model parameters until the result has the desired properties.
