Question

Part1: What is data mining explain the advantages and disadvantages in detail?

Answer 1

Data mining is the computational process of discovering patterns in large sets involving methods at the intersection of machine learning, AI ie. artificial intelligence.

The main goal of the data mining process is to extract information from a data set and convert it into an easy and understanding structure for further use.

Following are the advantages of data mining:-

1. Investigation:- Data mining can help researchers speed data by examing the process. So allow more time for the work of other projects.

2.Government agencies:- Information on the use of minerals and government agencies that includes financial records of the company and many other details.

3. In marketing:- Marketing company making mining make transport the basis of historical data predicting who responds to a new marketing campaign, such as direct direction, marketing campaign, etc.

Following are some disadvantage of data mining:-

1. Security issues:- A huge amount of data is being collected in data mining from many sources and there is a risk that the data might be hacked.

2. Misuse of the data:- There is a risk that Some organization may misuse the data collected by data mining.

3.Required skilled person:- In data mining you cannot hire freshers for data mining because it requires lots of skill and experiences