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Erschienen in:
The Visual Side of the Data Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

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

verfasst von : G. Amato, L. Candela, D. Castelli, A. Esuli, F. Falchi, C. Gennaro, F. Giannotti, A. Monreale, M. Nanni, P. Pagano, L. Pappalardo, D. Pedreschi, F. Pratesi, F. Rabitti, S. Rinzivillo, G. Rossetti, S. Ruggieri, F. Sebastiani, M. Tesconi

Erschienen in: A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years

Verlag: Springer International Publishing

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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.

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Vorheriges Kapitel Multimedia Data Modeling and Management
Nächstes Kapitel A Tour from Regularities to Exceptions
Fußnoten
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Metadaten
Titel
How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science
verfasst von
G. Amato
L. Candela
D. Castelli
A. Esuli
F. Falchi
C. Gennaro
F. Giannotti
A. Monreale
M. Nanni
P. Pagano
L. Pappalardo
D. Pedreschi
F. Pratesi
F. Rabitti
S. Rinzivillo
G. Rossetti
S. Ruggieri
F. Sebastiani
M. Tesconi
Copyright-Jahr
2018
Buch
A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years

Print ISBN: 978-3-319-61892-0

Electronic ISBN: 978-3-319-61893-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-61893-7_17