Open AccessData Mining and Marketing Intelligence
Author(s) -
Alberto Saccardi
Publication year - 2003
Publication title -
symphonya
Language(s) - English
Resource type - Journals
eISSN - 1593-0319
pISSN - 1593-0300
DOI - 10.4468/2003.2.05saccardi
Subject(s) - business intelligence , data science , computer science , data mining , process (computing) , a priori and a posteriori , order (exchange) , subject (documents) , selection (genetic algorithm) , marketing research , data stream mining , database marketing , marketing , artificial intelligence , marketing management , business , world wide web , relationship marketing , epistemology , finance , philosophy , operating system
The technological advance has made possible to create data bases designed for the marketing intelligence, with the availability of large information. Data Mining is the process of selection, research and modeling of large amounts of data aimed to find out unknown business relationships in order to achieve a business edge. The Data Mining activity has a searching approach in the data analysis: discover unknown relationships, new relationships without an ‘a priori’ hypotheseson the subject