Data Mining in Current Technologies Assignment 2022

Running Head: DATA MINING 1
Data Mining in Current Technologies
Name of student
School

DATA MINING 2
INTRODUCTION
This is the professional act of actually examining large or small datasets in databases that have
already been developed and are actually in existence. The main aim of doing data mining is to
aid in discovering patterns in large data sets and this is with the methods that intersect machine
learning, statistics, and database systems. There are more than one database systems. Some of the
database systems from which data is mined during data mining processes include, Microsoft's
SQL, Oracle's SQL, Mango DB, MySQL among others. These systems are preferred for different
reasons and different ones are compatible with different data science software, therefore, taste
and preference of the data science software of choice will be influenced by most of the things.
DATA MINING AND MACHINE LEARNING
After data has been mined, from any of the database software listed above plus many more, there
is usually the assignment, personal or imposed by an organization, lecturer, or self-driven to get
to find the actual insights that the data variables of the dataset have. These insights can be a
correlation between variables, variables' variability in matters correlation, getting the classes
under which variables fall through supervised and supervised algorithms. One needs to note the
fact that, in data mining, the process of actually extracting data from databases is just a first step
and the most skeleton step that is first done before other important steps are reached. Data
mining at large is an interdisciplinary area that involves both computer science and mathematical
formulas and applications. What this means is that after the actual retrieve of data from the
relevant sources, then there will follow an application of analyzing datasets by the use of coding
software and this is where the computer science discipline comes in.