How data mining and machine learning evolved from relational data base to data science
Capitolo di libro
Data di Pubblicazione:
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.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Data mining; Sentiment analysis; Text classification; Image classification; Trajectory mining
Elenco autori:
Ruggieri, Salvatore; Pedreschi, Dino; Monreale, Anna; Rossetti, Giulio; Pappalardo, Luca; Pratesi, Francesca; Amato, Giuseppe; Giannotti, Fosca; Gennaro, Claudio; Pagano, Pasquale; Nanni, Mirco; Candela, Leonardo; Tesconi, Maurizio; Falchi, Fabrizio; Rinzivillo, Salvatore; Esuli, Andrea; Rabitti, Fausto; Sebastiani, Fabrizio; Castelli, Donatella
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Link al Full Text:
Titolo del libro:
A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years
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