ITS 632 TAMUC Data Mining Knowledge Discovery in Databases Processes Discussion

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Ivpgbei1

Computer Science

ITS 632

Texas A & M University - Commerce

ITS

Description

Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of Intro to Data Mining (ITS-632-M23) course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study.

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Explanation & Answer

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Introduction to Data Mining

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Data mining is an essential part of knowledge discovery in databases (KDD), the process
of extracting useful data from large data sets. It intends to discover new patterns amongst data.
Today, information has soured than what organizations can handle; this has led to the need for
automatic retrieval of data to make decisions. Data mining has taken care of this by discovering
patterns in data that is helping organizations and businesses with insights on market changes and
trends, customer behavior, price setting and product categorization (Sumathi & Sivanandam,
2006). The KDD process is an iterative sequence that involves data selection from the database;
removal of inconsistent and noisy data is done. The data is then transfo...


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