Chapter

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

Volume 31 of the series Studies in Big Data pp 287-306

Date:

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

  • G. AmatoAffiliated withISTI - CNR
  • , L. CandelaAffiliated withISTI - CNR
  • , D. CastelliAffiliated withISTI - CNR
  • , A. EsuliAffiliated withISTI - CNR
  • , F. FalchiAffiliated withISTI - CNR
  • , C. GennaroAffiliated withISTI - CNR
  • , F. GiannottiAffiliated withISTI - CNR Email author 
  • , A. MonrealeAffiliated withUniversity of Pisa
  • , M. NanniAffiliated withISTI - CNR
    • , P. PaganoAffiliated withISTI - CNR
    • , L. PappalardoAffiliated withUniversity of Pisa
    • , D. PedreschiAffiliated withUniversity of Pisa
    • , F. PratesiAffiliated withISTI - CNR
    • , F. RabittiAffiliated withISTI - CNR
    • , S. RinzivilloAffiliated withISTI - CNR
    • , G. RossettiAffiliated withUniversity of Pisa
    • , S. RuggieriAffiliated withUniversity of Pisa
    • , F. SebastianiAffiliated withISTI - CNR
    • , M. TesconiAffiliated withIIT-CNR

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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.