Case Study of Data Mining Models and Warehousing
|Shivappa M Metagar1, Praveenkumar D Hasalkar2, Anil S Naik3
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Generally, data is a collection of information or raw material and mining is the discovery of something in different field and the process of analysing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. Data mining is the process of extracting hidden and useful patterns and information from data. Data mining software is one of the numbers of analytical tools for analysing data. It allows users to analyse data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Companies have used powerful computers to sift through volumes of supermarket scanner data and analyse market research reports for years. However, continuous innovations in computer processing power, disk storage, and statistical software are dramatically increasing the accuracy of analysis while driving down the cost. Organizations are accumulating vast and growing amounts of data in different formats and different databases. This includes operational or transactional data such as, sales, cost, inventory, payroll, and accounting nonoperational data, such as industry sales, forecast data, and macro economic data, meta data - data about the data itself, such as logical database design or data dictionary definitions.