Search results
Results from the WOW.Com Content Network
The Cross-industry standard process for data mining, known as CRISP-DM, [1] is an open standard process model that describes common approaches used by data mining experts. It is the most widely-used analytics model.
Data mining is the process of extracting and finding ... an integrated software application for data mining, business intelligence, and modeling that implements ...
Model. In the Model phase the focus is on applying various modeling (data mining) techniques on the prepared variables in order to create models that possibly provide the desired outcome. Assess. The last phase is Assess. The evaluation of the modeling results shows the reliability and usefulness of the created models.
Data mining for business applications can be integrated into a complex modeling and decision making process. [8] LIONsolver uses Reactive business intelligence (RBI) to advocate a "holistic" approach that integrates data mining, modeling , and interactive visualization into an end-to-end discovery and continuous innovation process powered by ...
Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. It may be applied as part of broader Model-driven engineering (MDE) concept.
Semantic data mining is a subset of data mining that specifically seeks to incorporate domain knowledge, such as formal semantics, into the data mining process.Domain knowledge is the knowledge of the environment the data was processed in. Domain knowledge can have a positive influence on many aspects of data mining, such as filtering out redundant or inconsistent data during the preprocessing ...
Process mining is a family of techniques for analyzing event data to understand and improve operational processes. Part of the fields of data science and process management, process mining is generally built on logs that contain case id, a unique identifier for a particular process instance; an activity, a description of the event that is occurring; a timestamp; and sometimes other information ...
In data mining, the process of using a model to derive predictions or descriptions of behavior that is yet to occur is called "scoring". In traditional analytic workbenches, a model built in the analytic engine has to be deployed in a mission-critical system to score new data, or the data is moved from relational tables into the analytical ...