Hello, ladies and gentlemen, and whoever
else you identify as. Today I'm going to
tell you about data mining. So, um, data
mining, it's the collection and analyzing
of data to, like, find patterns in users
and whatnot on the internet. Um, it can help,
like, finding personal information, uh,
putting advertisements, patterns in
weather, and, like, mi-migrational patterns
for like people in cities and
whatnot. And there are five steps to data
mining so first one is the collection of
the mate- of the information material
that you're gonna be using. Second is
cleaning or the removal of any, um, unwanted
sources and, just any unnecessary
information. Like, say, if it's outdated
and you cannot reuse...
Third step is extracting and identifying
the key values of information. Just kinda
analyzing and whatnot. The fourth and final
step is the interpretation and the, um, just
the final presentation of the, um, material
gathered. And so, you may be wondering,
"Well, how is this affecting in the real world?" So, uh,
an example of this is when you go on
YouTube and starts recommending you, like, 
videos that you previously watched,
and when you go to certain websites, you
may notice that it promotes more of a
certain product that you've recently
bought. And those are examples of giant
CEOs and corporations using data mining to find
out your personal information to try and
entertain yourself stuff to you. That's all.
