Within knowledge discovery in database (KDD) there are three main approaches to identifying patterns within data sets. Which of the following lists these approaches?
A.
Classification, probabilistic, symmetrical
B.
Mining, probabilistic, statistical
C.
Classification, mining, statistical
D.
Classification, probabilistic, statistical
Explanation:
Data mining is also known as knowledge discovery in database (KDD), and is a combination of techniques to identify valid and useful patterns. Different types of data can have various inter relationships, and the method used depends onthe type of data and the patterns sought. The following are three approaches used in KDD systems to uncover these patterns:
– Classification – Groups together data according to shared similarities.
– Probabilistic – Identifies data interdependencies and applies probabilities to their relationships.
– Statistical – Identifies relationships between data elements and uses rule discovery.