During the last 35 years, data management principles such as physical and logical independence, declarative querying and cost-based optimization have led to profound pervasiveness of relational databases in any kind of organization. More importantly, these technical advances have enabled the first round of business intelligence applications and laid the foundation for managing and analyzing Big Data today.
How data mining and machine learning evolved from relational data base to data science
Amato G;Candela L;Castelli D;Esuli A;Falchi F;Gennaro C;Giannotti F;Monreale A;Nanni M;Pagano P;Pappalardo L;Pedreschi D;Pratesi F;Rabitti F;Rinzivillo S;Rossetti G;Ruggieri S;Sebastiani F;Tesconi M
2018
Abstract
During the last 35 years, data management principles such as physical and logical independence, declarative querying and cost-based optimization have led to profound pervasiveness of relational databases in any kind of organization. More importantly, these technical advances have enabled the first round of business intelligence applications and laid the foundation for managing and analyzing Big Data today.File in questo prodotto:
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Descrizione: How data mining and machine learning evolved from relational data base to data science
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