Data Mining Tool Entities Clause Samples

Data Mining Tool Entities. Data mining and data analytics describe a group of known techniques used to extract information from data. Examples of these techniques are multivariate non-linear statistics, neural networks or decision trees. Beneath (offline) analytics, data-based or data-driven models can be developed that can be used, for example, as a soft sensor (regression model) or as decision support for the operators (classification models). Together with existing physical or first principle models, data analysis is often used for parameter estimation on the basis of historical data or in various combinations as a hybrid model. Within the framework of COCOP, the Data Mining Tool Entity is used in the steel application case for the development of data-driven models. The necessary data is requested from the Data Source Entity via the message bus. No data or metadata is transmitted directly to the COCOP solution via the message bus. All information collected is used indirectly during modelling in the Model Entity or in the design of the data preprocessing during the data request of the models.