A judge is responsible for being in charge of a case in a law court and can pass judgments on an accused.
<h3>What is Crime?</h3>
This refers to the break down of law and order in a given place when people engage in criminal activities.
With this in mind, we can see that if there is a reduction in crime, then the community would be safer and there would be an end to unruly acts and this would lead to lasting peace,
Please note that your question is incomplete so I gave you a general overview to get a better understanding of the concept.
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Answer:
c. Powerful source of sacred truth.
Explanation:
Myths may not be historically authentic factual statements but these help us re-imagine the world. Myths are unique accounts of gods, semi-gods or superhuman beings engaged in extraordinary events in an unspecified time, especially related to a religion. The history of mythology is rooted in remote past therefore the study of myth is of central importance in the study of individual cultures as well as of the whole of human culture.
In ancient times, salt was a valued commodity, often used to bartar, and was necessary for food preservation. With modern conveniences, it is not needed as it was in the past. Salt had much less value now.
They were both important and happened in history, so there for yes.
Answer:
The correct option is D: The process aspect means that data mining should be a one-step process to result
Explanation:
Data mining is known the process of discovering correlations, patterns, and anomalies within a huge data set in a bid to predict outcomes or result. There are several features of data mining. The first one is that the valid aspect of data mining entails that on new data, the discovered pattern should be true, and hence A is a correct statement. Furthermore, it is true that when the data is potentially useful, this means that it is capable of leading to some form of business. Lastly, the novel aspect entails there are some unknown patterns that have been uncovered. The process aspect include processes such as, understanding the business, understanding the data, preparing the data, modeling, evolution, before deployment, hence, this is not a one-step process to result.