If you deal with the internet, then you must have heard Data Mining, Blockchain , etc. at some point or the other. Many of you might even know about it. But still this article can double your understanding. Let us understand what is Data Mining in Hindi after all.
To understand what is Data Mining in Hindi , let us divide it into 2 parts. Data means information information and mining means not to dig or to find. That is, digging out any necessary data out of a lot of data / information, that is, searching for it is called data mining.
To understand what is Data Mining in detail , let us divide it into 2 parts. Data means information information and mining means not to dig or to find. That is, digging out any necessary data out of a lot of data / information, that is, searching for it is called data mining.
Data mining is also called knowledge discovery. If it is explained technically, then data mining is a method i.e. process in which the necessary information is discovered from a large data group by dealing with many techniques such as artificial intelligence, computer graphics, statistics etc.
becomes even easier and simpler when some tools are used in this process such as PowerBI, Tableau, Qlick Sense etc. All these tools prove to be very helpful in knowing and understanding the data.
Examples of Data Mining
Although many examples of Data Mining can be given, but we will try to explain you here with a simple example.
You must be getting calls from credit card company or from any insurance company often. But have you ever thought that they have your number, your interest, what things do you search online, how does all this information go? This is actually the lotus of data mining, in which a little bit of artificial intelligence is also involved.
Similarly, retail brands/companies like Amazon , Flipkart, Myntra etc., what did you search on the internet and what do you want and message or call you by doing all this unnecessarily.
Objectives of Data Mining
This is a very important work in which the entire future planning of any company depends. That is why it is very important to use it very carefully. In Data Mining in Hindi , now let us know some of its objectives.
Explanatory: As the name suggests, any event is narrated from bed
Confirmatory: In this, all kinds of ideas and ideas are often confirmed.
Analyzatry: According to the name, its work is also there. Mainly, in this, large or small datasets are analyzed well so that later on one theory can be reached.
Data Mining Advantages
Among the many benefits of Data Mining, some special benefits have been mentioned for you, due to Data Mining, companies are getting real, accurate and more data. Due to this, companies are better able to understand their customers and their likes and wants and that is why they are moving ahead according to their need. Implementing it in any new system. It's very easy. Because its speed is very good, that's why any large dataset can be easily analyzed.
Disadvantages of Data Mining
During data mining, a lot of data is incomplete i.e. the biggest problem is data privacy and security. There is a chance of data being misused
Data Mining Requirements
Data Mining is helpful in understanding the biggest dataset very easily in a simple way,
big companies depend a lot on data mining and take further decisions accordingly,
it is helpful in predicting the future.
Is giving all kinds of accurate information to any business or any one person.
Types of Data Mining
So far we have discussed what is data mining, data mining advantages and disadvantages, etc. Now we will know its types i.e. types of
data mining.
- Predictive Data Mining Analysis
- Descriptive Data Mining Analysis
- Prescriptive Data Mining Analysis
Applications of Data AnalysisIn Marketing & Sales:
In Marketing & Sales: Through this, any company is getting the opportunity to know and understand its customers better. Understanding the buying behavior of the customer can be recommended.
Pharma & Healthcare Sector: Before making any kind of medicine, thousands of things do not have to be kept in mind on it. Similarly, in the healthcare sector too, a lot of data has to be analyzed in the same way. This is where data mining comes in handy.
Education Sector: The progress of the country depends a lot on the education available in the country. But where and how much education industry should be, all this is known from Data Mining
In many fraud cases, data mining helps a lot in exposing them all.
FAQs
What is meant by Data Mining?
Data mining is also called knowledge discovery. If it is explained technically, then data mining is a method i.e. process in which the necessary information is discovered from a large data group by dealing with many techniques such as artificial intelligence, computer graphics, statistics etc.
What is Data Mining and how many types are there?
Data Mining is a process in which the necessary information is discovered from a large data group by dealing with Artificial Intelligence, computer graphics, statistics etc. It is mainly of 3 types:
Predictive Data Mining Analysis
Descriptive Data Mining Analysis
Prescriptive Data Mining Analysis
So this was some information in data mining. Hope you have liked and informative this article on Data Mining. Please do tell your important suggestions through comments. If you like it then please share it with everyone.
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