Data Mining Requires
A. Data Preparation
B. Privacy Obligations
Data mining requires data preparation which uncovers information or patterns which compromise confidentiality and privacy obligations. A common way for this to occur is through data aggregation.
More Related MCQs on Data Mining
What is data mining MCQ?
Data mining is a type of process in which several intelligent methods are used to extract meaningful data from the huge collection ( or set) of data.
What is the use of data mining MCQ?
Data mining is a process used to extract usable data from a larger set of any raw data.
Which of the following are required by a data mining algorithm?
The mining model that an algorithm creates from your data can take various forms, including: A set of clusters that describe how the cases in a dataset are related. A decision tree that predicts an outcome, and describes how different criteria affect that outcome. A mathematical model that forecasts sales.
Is the goal of data mining MCQ?
A goal of data mining is to explain some observed event or condition. Data mining is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.