Data Mining & Business Intelligence

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Data mining & Business Intelligence

 

The term data mining refers to one of the processes involved in the task of extracting knowledge from a database, also known as KDD (Knowledge Discovery in Data bases). However, by extension, it is referred to as the KDD global process because of its commercial appeal. Understanding data mining as a KDD sub-process, we could define the term as the process of extracting underlying knowledge from a large volume of data.

It is a recent development directly linked to the scientific fields of mathematics (mainly statistics), computer science and artificial intelligence. It can be supported by different Business Intelligence systems, from which we can obtain several advantages!

In this article we´re highlighting how a Business Intelligence system is a great starting point for the data mining process and how data mining can be used for process optimization.

The topics covered are:

  1. Definition
  2. Objectives and challenges
  3. KDD Process Phases
  4. Applications:

➀ Data mining & Business Intelligence
➁ Extracting knowledge from unstructured data
➂ Optimization of processes

Click this link to read the full article on data mining: Data Mining & Business Intelligence

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