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
GAMCO's forecasts point to an increase of at least 10% in the percentage of "non-performing loans" to individuals over the next five years.
Read More »After the revolutions led by coal, electricity, and then electronics, society is now witnessing a fourth revolution in the energy sector.
Read More »If you've ever wondered how Spotify recommends songs you like or how Siri and Alexa can understand what you say to them... the answer is that you can [...]
Read More »Unlike a computer program, in which a list of commands are processed through a computer program, AI goes beyond the [...]
Read More »
