馃攳
DATA MINING | WHY AND WHAT OF DATA MINING| DATA MINING LECTURES - YouTube
Channel: Ed Technology
[0]
Hello everyone this is Navjyotsinh
[2]
Jadeja and welcome to today's lecture
[4]
on what is data mining so basically
[7]
you've heard a lot about data mining and
[10]
machine learning in you know current
[11]
trends newspapers medium.com
[14]
and so many places but very few people
[16]
know what exactly is data mining so
[19]
into this lecture we'll be talking on
[20]
what is
[21]
data mining before that I'd like to tell
[24]
you that what are we going to discuss in
[26]
this lecture so in today's lecture we
[28]
are going to discuss on why data mining
[30]
because it's very important that we
[31]
understand what is the importance of it
[33]
why is it so and discuss why is it so
[36]
important and then we are talking on
[38]
what exactly is data mining then we're
[40]
moving further and finding out what data
[42]
mining is useful what are the
[43]
applications where can we use it and
[45]
then finally you know what kind of data
[47]
we need to mine we have said that is
[49]
also important that you need to
[50]
understand what different types of data
[52]
are available and how can we mine the
[55]
data and also it is important to
[57]
understand that all data can be mined
[59]
now this very important point we'll be
[61]
discussing and then finally major issues
[64]
in data mining so let's move further so
[67]
as I said why data mining so basically
[69]
we are drown with the data it's like
[70]
we're having so much of data and we're
[73]
not having knowledge and data mining is
[76]
basically a misnomer a lot of people
[77]
understand data mining in a very wrong
[79]
way
[80]
like if you're doing a gold mining if
[82]
you're doing coal mining and in those
[84]
cases you're actually digging it for the
[87]
gold whereas here you're not you know
[89]
mining for the data you mine for the
[91]
knowledge so the data mining is also
[93]
known as knowledge mining or knowledge
[95]
discovery in data mining and the reason
[98]
for data mining being so important is
[100]
this there is a huge amount of data
[102]
available and fact according to
[104]
statistics which I have been knowing and
[106]
studying is that amount of data which is
[108]
produced in the last two years is more
[111]
than the total amount of data produced
[113]
in earlier whole century so it's a huge
[116]
amount of data so where is this data
[118]
coming from this data is coming from
[120]
different platforms which you are
[121]
connected on like social media platforms
[124]
everyday all of you log in into social
[125]
media platforms like Facebook Instagram
[127]
Twitter etc and you've been posting so
[130]
many things you talk on things you like
[132]
you
[133]
you know you dislike you share everything
[135]
then there are ecommerce platforms which
[138]
I've taken a boom amazon ebay flipkart
[141]
etc where people go online sell
[143]
products check out the different you
[145]
know comparative analysis of the
[147]
different products and there is a whole
[149]
lot of you know data generated there
[151]
also along with that all governments are
[154]
getting online so there are a lot of
[156]
online records of your education the
[159]
Aadhar links the bank transactions and so
[161]
much more and also all you know there's
[163]
a whole variety of new thing that will
[165]
being generated from news blogs and
[167]
other media's so this overall means that
[170]
there's a huge amount of data available
[172]
now only concern is how we can utilize
[176]
this data to generate some sort of a
[178]
knowledge which can be used for decision
[180]
making so that is what we are talking in
[183]
data mining is it basically discovering
[186]
hidden patterns from already available
[188]
data data can be available in
[190]
different forms it can be hard copy it
[192]
can be soft copy it can be online
[194]
records it can be clicks on the media it
[196]
can be you know your keys in the browser
[198]
so much but if that can help us and find
[201]
out you know some patterns some
[204]
knowledge that is what the data mining
[206]
is all about and it's also extracting
[208]
knowledge from the data which can make
[210]
some decision making effective it is
[213]
base to decision making systems
[215]
there's also extraction of
[216]
interestingness so when we are talking
[219]
about interestingness will be talking in
[221]
the further lectures how interestingness
[223]
is a parameter to be judged when we are
[226]
talking on data' mining and also it can
[228]
be used for searching algorithms and
[230]
you know for the query processing now
[234]
basically you know what is it that we
[236]
are talking about what is the difference
[238]
so data mining is not searching how is
[240]
it different from searching so we are
[242]
not writing queries it's not the
[244]
database the data mining is applied on
[246]
various forms of data so it's not always
[247]
that we are working with the same kinds
[250]
of data that's a concept of data
[252]
warehousing which we'll be covering in
[253]
some other lecture but in in order to
[256]
understand in simple words data mining
[258]
is not applied on single type of data
[260]
when it's query processing or maybe you
[263]
know writing the query in the databases
[264]
in the same type of data
[266]
additional task is also that we need
[269]
pre-processing we are talking on the you
[272]
know issues related to the data from
[274]
different sources so that is
[276]
pre-processing is performed and that is
[278]
the reason it gives you more effective
[280]
results now when we are talking about
[283]
the application how can we data mining
[285]
can be used the data mining can be used in
[287]
different parameters different fields in
[289]
a lot of ways so medical field as we are
[292]
mentioning here is one of the field
[293]
which is getting benefitted a lot by
[296]
data mining especially cancer detection
[298]
diabetes prediction and a lot of other
[300]
things so health data mining is one of
[302]
the causes of you know called cure for
[304]
lot of you know critical diseases and if
[306]
not the cure it is helping us reduce the
[309]
effects of the diseases ecommerce is the
[312]
only reason which you know data mining
[314]
came into existence and data mining is
[316]
one of the reason that e-commerce is
[318]
moving. The rise of Amazon and becoming
[321]
the you know the most come big company
[324]
is because of the data mining and
[325]
machine learning algorithms which they
[327]
have developed our webpage analysis the
[330]
results which we get prediction
[332]
algorithms in the stock market and so
[333]
much more so data mining is a diverse
[335]
field in fact I would like you to
[337]
comment in the comment section whether
[339]
you have heard of data mining in some
[341]
way or you experience or maybe you're a part
[344]
of the experience of you know data
[346]
mining is being done to you please share
[348]
your experiences now what kind of data
[351]
can be mined like I mentioned earlier
[353]
what's sort of data we can actually mine like we
[356]
can mine the relational databases we
[358]
have the data warehouses of different
[360]
types or a period of time a company or
[362]
industry or a Institute might have lot
[365]
of data so we can you know actually go
[367]
online and get those data perform the
[370]
pre-processing and find out if there are
[372]
some patterns or interestingness in
[374]
there there are sensor data is available
[376]
through IOT you know there is huge world
[380]
of IOT getting corrected with the help
[382]
of big data analytics so sports as the
[385]
field which is you know benefiting a lot
[387]
defense is something which is
[389]
benefiting a lot so this kind of IOT
[391]
sensor's data is used a lot time series
[394]
data if there is a data over a period of
[396]
time which we can use in a particular application
[399]
that can also be mined so there are lot
[401]
of applications we can also apply data
[403]
mining and visualizing and graphs are
[406]
also so this is what applications of
[409]
data mining are and in general it is a
[411]
very broad category we'll be seeing this
[414]
in the further lectures as well now
[416]
before we go further it's like what are
[418]
the major issues in data mining because
[420]
then we are talking about diversity of
[422]
the data when we are talking about huge
[423]
amount of data along with the benefits
[426]
there are a lot of disadvantages and
[428]
disadvantages is this as listed here is the
[430]
diversity itself can sometimes lead us
[432]
to you know miss conceptualize knowledge
[436]
the efficiency and scalability can be a
[438]
issue when we are talking about large
[440]
scale data also processing them requires
[443]
a hardware and structure which is not
[446]
always available user interaction is a
[448]
problem which we have sometimes the data
[451]
mining is you know we have to concern
[453]
about the society but at this kind of
[455]
information we can mine or not so data
[457]
mining in general is a very wide field I
[460]
guess at the end of the lecture you will
[462]
have a brief idea of what is data mining
[464]
thank you thank you so much for your
[466]
time and patience please subscribe to
[468]
Ed technology hope to see you again in
[471]
the next lecture thank you so much hasta
[473]
la vista
Most Recent Videos:
You can go back to the homepage right here: Homepage