How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science

You are here

TitleHow Data Mining and Machine Learning Evolved from Relational Data Base to Data Science
Publication TypeBook Chapter
Year of Publication2018
AuthorsAmato, 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
Secondary AuthorsFlesca, S, Greco, S, Masciari, E, Saccà, D
Book TitleA Comprehensive Guide Through the Italian Database Research Over the Last 25 Years
Pagination287 - 306
PublisherSpringer International Publishing
CityCham
ISBN Number978-3-319-61893-7
AbstractDuring 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.
URLhttps://link.springer.com/chapter/10.1007%2F978-3-319-61893-7_17
DOI10.1007/978-3-319-61893-7_17