Data mining is an automated process of extracting meaningful patterns and useful knowledge from large sets of data. It is used in the field of artificial intelligence and machine learning to discover hidden relationships and trends in data that can be used to make informed decisions and improve performance in various areas, such as business decision making, outcome prediction, risk analysis, customer segmentation, product recommendation, among others.
The data mining process involves the use of data analysis techniques and algorithms, such as regression, classification, clustering, association and sequence mining, among others. These techniques enable the identification of patterns in data that can be used to make informed decisions and improve performance in various areas.
Reference: From Data Mining to Knowledge Discovery in Databases, Fayyad, U. and Piatetsky-Shapiro
ERP stands for Enterprise Resource Planning and is a computerized planning and business management system capable of integrating the information [...]
Read More »In this article we are going to focus on how artificial intelligence (AI) can increase efficiency and reduce costs for your company by [...]
Read More »Normally the acronym NPLs (Non Performing Loans) is used in the financial sector and is a reality in Spanish banks as well as in banks [...].
Read More »Artificial intelligence (AI) and machine learning (ML) are two of the most popular technologies used to build intelligent systems for the [...]
Read More »
