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How data mining and machine learning evolved from relational data base to data science

Chapter
Publication Date:
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.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Data mining; Sentiment analysis; Text classification; Image classification; Trajectory mining
List of contributors:
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
Authors of the University:
AMATO GIUSEPPE
CANDELA LEONARDO
ESULI ANDREA
FALCHI FABRIZIO
GENNARO CLAUDIO
NANNI MIRCO
PAGANO PASQUALE
PAPPALARDO LUCA
PRATESI FRANCESCA
RINZIVILLO SALVATORE
ROSSETTI GIULIO
SEBASTIANI FABRIZIO
TESCONI MAURIZIO
Handle:
https://iris.cnr.it/handle/20.500.14243/357008
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/357008/16623/prod_372761-doc_136136.pdf
Book title:
A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years
Published in:
STUDIES IN BIG DATA
Series
  • Overview

Overview

URL

https://link.springer.com/chapter/10.1007%2F978-3-319-61893-7_17
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