Detail

Data mining frameworks with lecturing purposes

Data mining aims at discovering knowledge from the data. Supervised and unsupervised machine learning are two major branches inside data analytics. There are some methodologies to deal with the data mining flow, beginning with raw data and ending with a prediction model to work accurately with unseen data. This seminar explains different approaches as well as specific frameworks with special attention in the lectures for undergraduate, master and postgraduate students. Depending on the level and the initial background some of the may be more focused to the pursued goal.