As an example, the prediction for a product’s sales performance can be created by correlating the product price and the average customer income level. Regression analysis creates models that explain dependent variables through the analysis of independent variables.
Association analysis is widely used to identify the correlation of individual products within shopping carts. Association analysisĪssociation analysis is the discovery of association rules showing attribute-value conditions that occur frequently together in a given set of data. In general, three types of data mining techniques are used: association, regression, and classification.
The knowledge gained can be used for applications ranging from risk monitoring, business management, production control, market analysis, engineering, and science exploration. The major reason that data mining has attracted attention is due to the wide availability of vast amounts of data, and the need for turning such data into useful information and knowledge.
Statistical methods are used that enable trends and other relationships to be identified in large databases. In artificial intelligence and machine learning, data mining, or knowledge discovery in databases, is the nontrivial extraction of implicit, previously unknown and potentially useful information from data.
0 kommentar(er)
