BI-Consulting

Data Mining

Data Mining has to do with the discovery of useful, valid, unexpected and understandable knowledge from data. These general objectives are obviously shared by other disciplines like statistics, machine learning or pattern recognition.One of the most important distinguishing issues in data mining is size.

With the advent of computer technology and information systems, the amount of data available for exploration has increased exponentially. This poses difficult challenges to the standard data analysis disciplines: one has to consider issues like computational efficiency, limited memory resources, interfaces to databases, etc.

All these issues turn data mining into a highly interdisciplinary subject involving tasks not only of typical data analysts but also of people working with databases, data visualization on high dimensions, etc.

Data minig life cycle

Collection data

Preparation of the data for the analysis

Building model

Model assessment

Using model

Data mining tasks

Data minig algorithms

top