Data Mining and Warehousing

Abstract—The aim of this paper is to show the importance of
using data warehousing and data mining nowadays. It also aims
to show the process of data mining and how it can help decision
makers to make better decisions. The foundation of this paper
created by doing a literature review on data mining and data
warehousing. The models developed based on the knowledge
gained from the literature review and a real case implementation.
The most important findings are the phases of data mining
processes, which are highlighted by the developed model, and the
importance of data warehousing and data mining. It can help to
get better answers which allow both technical and nontechnical
users to make much better decisions. Practically, data
warehousing and data mining is really useful for any
organization which has huge amount of data. Data warehousing
and data mining help regular (operational) databases to perform
faster. They also help to save millions of dollars and increase the
profit, because of the correct decisions made with the help of data
mining. This paper shows the process of data mining and how it
can be used by any business to help the users to get better
answers from huge amount of data. It shows an alternative way
of querying data. Instead of doing regular queries from regular
databases, data mining goes further by extracting more useful
information. DOWNLOADS

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