INTRODUCTION: The technology that exists with Data Mining and Warehousing is comparatively a new term but the technology is not. Data Mining is the process of digging or gathering information from various databases. This includes data from point of sales transactions, credit card purchases, online forms which are just a few of the many things that some of the large companies dig to find out more about their clients. The information is used to find out how major of the clients shopping behavior, or what makes them irritated or simply how can they make the life of the client happier. Since gathering all this information is a necessity in order to increase sales and have a better relationship with clients, and with storage devices becoming cheaper, the idea of warehousing data came into being. This literally means that the data is collected in a central place where it is analyzed and sorted according to the company requirement.
Data mining is the search for relationships and global patterns that exist in large databases but are `hidden' among the vast amount of data, such as a relationship between patient data and their medical diagnosis. These relationships represent valuable knowledge 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... [continues]
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