Data Mining Data Mining

Data mining is the process of discovering useful patterns, trends, and relationships from large data sets. It involves extracting data, transforming it, and loading it into databases for analysis. The goals of data mining include reducing risks, predicting events, improving customer relationships, and increasing revenue while decreasing costs for businesses.

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Data Mining Data Mining

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Jian-Hua

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Data Mining

Data mining is the process of discovering, analysing, and extracting non-trivial, implicit,
previously unknown, and potentially useful information, patterns, trends, anomalies,
relationships or correlations from raw data.

Data mining is also known as Knowledge Discovery in Data (KDD), information harvesting,

Purposes of data mining include:

 To reduce risks in risk management

 To predict future events in forecasting
 To improve customer relationships in businesses
 To increase revenue and decrease costs in companies

Major steps throughout data mining involve:

 Extract, convert and load data into a data warehouse

 Store and manage data in a multidimensional databases
 Provide data access to analysts using application software
 Present analysed data in presentable or understandable forms

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