Data warehousing in data mining

5 examples of data warehouse
A data warehouse is a single data repository where a record from multiple data sources is integrated for online business analytical processing (OLAP).
This implies a data warehouse needs to meet the requirements from all the business stages within the entire organization..
5 examples of data warehouse
Naive Bayes clas
What is data warehouse implementation in data mining?
Data Warehouse Implementation is a series of operations required to build a data warehouse that is completely functional.
These operations follow the steps of classifying, evaluating, and creating the data warehouse in line with the requirements of the customer..

Data warehousing is a method of organizing and compiling data into one database, whereas data mining deals with fetching important data from databases. Data mining attempts to depict meaningful patterns through a dependency on the data that is compiled in the data warehouse.

Data Mining

In this process, data is extracted and analyzed to fetch useful information

References

1. https://www.javatpoint.com/k-nearest-neighbor-algorithm-for-ma… 2

What is data warehouse process?

The data warehouse process is an iterative process that is repeated as new data is added to the warehouse

It is a crucial step for data mining process, as it allows for the storage, management and organization of large amount of data which is needed to be mined

What is the difference between data warehousing and data mining?

Data warehousing is a method of organizing and compiling data into one database, whereas data mining deals with fetching important data from databases

Data mining attempts to depict meaningful patterns through a dependency on the data that is compiled in the data warehouse

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