Data Mining

Define data mining:

Discovering patterns and knowledge from large datasets.🔍

How is data mining related to artificial intelligence and data science?

Data mining uses AI techniques and is a component of data science.

What are the applications of Data Mining?.

Business intelligence, fraud detection, research, and more

What are the different stages of Data Mining?

Data cleaning, data integration, data selection, data transformation, data mining, pattern evaluation, and knowledge representation.

Define the Exploration Stage in Data Mining?

Initial data examination to understand its characteristics.

Define metadata?

Data about data.

Name a few Data Mining Techniques.

Association rule mining, classification, clustering, regression.

What are the different use cases of Data Mining?

Customer relationship management, market analysis, risk management.

Who are the people involved in Data mining projects?

Data scientists, data analysts, domain experts, database administrators. 📊

Explain major issues in data mining:

Scalability, data quality, privacy, and interpretation of results.

Explain Various steps in data pre-processing:

Cleaning, integration, transformation, reduction.

Briefly discuss about data integration & data transformation:

Data integration combines data from different sources; data transformation converts data into a suitable format.

What is data warehousing and how is it relevant to data mining?

Data warehousing is a central repository for integrated data, facilitating data mining.

What are the different forms of data used in data mining?

Structured, semi-structured, and unstructured data

What are the different sources of data?

What are the different sources of data?

Databases, data warehouses, files, the internet.

Page updated

Google Sites

Report abuse