DATABASE FUNDAMENTALS
BASICS OF BIG DATA
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Data Reduce
|
|
|
Aggregate Data
|
|
|
Data Simplification
|
|
|
Data Mining
|
|
|
Data Compression
|
Detailed explanation-1: -Data mining, also called knowledge discovery in databases (KDD), is the field of discovering novel and potentially useful information from large amounts of data. Data mining has been applied in a great number of fields, including retail sales, bioinformatics, and counter-terrorism.
Detailed explanation-2: -Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
Detailed explanation-3: -Data mining is defined as the computational process of analyzing large amounts of data in order to extract patterns and useful information.
Detailed explanation-4: -Data Mining, also popularly known as Knowledge Discovery in Databases (KDD), refers to the nontrivial extraction of implicit, previously unknown and potentially useful information from data in databases.
Detailed explanation-5: -The data mining process involves a number of steps from data collection to visualization to extract valuable information from large data sets. As mentioned above, data mining techniques are used to generate descriptions and predictions about a target data set.