Answer: Non-functional
Explanation:
Non-functional requirement(NFR) are the the requirements that evaluates operation of any particular system.It consist of several factors for judging the system such as security, reliability, quality, utility, maintainability etc.These parameters depicts about how a system will perform the tasks.
Other options are incorrect because function requires are used for depicting about specific and certain function in system. Performance requirements deal with the parameter of operation execution.
Correctness and standard requirement are measure for correcting system and general needs in a system respectively.
An ordinance is the name typically used for a law passed by a local political subdivision, such as a city, county, village, or town. Ordinances may address a wide variety of local issues, from local government structure to speed limits and sign sizes.
Answer:
April 25, 2020
Explanation:
April 25, 2020
In order for an investment to be considered long-term, it must be held for longer than 1 year.
April 24th is not longer than a year, the only answer that is longer than a year of holding is April 25, 2020
Answer:
Data mining is one of the activities in Data Analysis. ... On the other hand, Data Analysis tests a given hypothesis. While Data mining is based on Mathematical and scientific methods to identify patterns or trends, Data Analysis uses business intelligence and analytics models.
Explanation:
Answer:
Bayesian filtering
Explanation:
This is a type of filtering software that makes use of Bayesian logic to evaluate every incoming email that you receive, analyzing the header and content of the email to determinate if it is spam or not. It uses a preset of common words that are present in most spam emails, and it categorizes all received emails according to their probability to contain spam in trusted, or not trusted email. These categories are usually set by the user.
In short, Bayesian logic uses the knowledge acquired from past events to try to predict future events. Determinate the probability of success (from 0 to 100%) of a certain activity, according to the result of prior tests. It was first suggested in 1763 after the death of its creator Thomas Bayes, and it is widely spread across several different sciences such as programming, artificial intelligence, physics, etc.
