Trekking blindly into terabytes of data to sniff out meaningless relationships that occur just by accident is called ________.
A) data mining
B) data dredging
C) data sharding
D) normalizing

Question

Quizplus · Accepted Answer

Data dredging is a term used to describe the practice of sifting through large data sets to identify spurious correlations. This involves analyzing data without a preconceived hypothesis, searching for patterns that may emerge by chance. It can lead to inaccurate or misleading results. Data mining, on the other hand, involves using statistical and machine learning techniques to extract insights from data and is typically done with a specific goal or hypothesis in mind. Data sharding is the process of breaking up a large database into smaller, more manageable pieces. Normalizing is the process of organizing data in a database to minimize redundancy and dependency.

Trekking Blindly into Terabytes of Data to Sniff Out Meaningless