Data mining is a computer science which extract patterns in data sets. It can be used to predict which people are most likely to respond to a sales offer or what type of garment is preferred by a certain type of customer.
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The term data mining is generally known as the process of analyzing data from many different perspectives in order to correctly organize the data. Sometimes data mining is also called knowledge dicovery.
Data mining can uncover interesting patterns. Some cookies will upload solely for the purpose of data mining.
difference between Data Mining and OLAP
Data mining software is a practical way to look for patterns and correlations. Basically, data mining take out information from data and transform it in a way to be understood for future use.
data warehouse A data warehouse is the main repository of an organization's historical data, its corporate memory. It contains the raw material for management's decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems. data mining The development of computational algorithms for the identification or extraction of structure from data. This is done in order to help reduce, model, understand, or analyze the data. Tasks supported by data mining include prediction, segmentation, dependency modeling, summarization, and change and deviation detection. Database systems have brought digital data capture and storage to the mainstream of data processing, leading to the creation of large data warehouses.