Data Mining and Warehousing

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about the database and the objects in the database and, if the database is a faithful mirror, of the real world registered by the database (Holshemier & Siebes, 1994). Data mining or knowledge discovery is a way of sifting through millions and millions of records that help the people who make decisions to better understand the needs of the customer. Although this technology is in its infancy state many industries are using this technology some of them to note are retailers, finance, health care, transportation and aerospace are just a noted few. These industries are already using the technology. By using complex mathematical and statistical techniques and pattern recognition techniques they get information that about 10 years ago would seem an enormous a job that would require months to process. Today these figures are processed at an amazingly high speed and with precision to the “T’. These figures and analysis help an analyst in recognizing the fact of relationship, trends, ...

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are collected by various means and sources. This could come by various means. Organizations collect huge amounts on a daily basis. These are in different formats and in different databases, some of the types that these software’s collect are given below:

1. Operational data such as sales, cost, inventory, payroll and accounting

2. Non operational data such as industry sales, forecast data and macro economic data

3. Meta data: - data about the data itself such as logical database design or data dictionary definitions.

These are then collected and stored away in Data Warehouses where it will be analyzed for different reasons.

Today Data Mining can help businesses in many ...

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