Database systems methodologies and technology can provide a significant support to data mining processes. In this chapter we explore approaches which address the integration between data mining activities and DBMSs from different perspectives. More specifically, we focus on (i) specialised query languages which allow to define complex data mining tasks through the submission of query requests, and (ii) indices, i.e., physical data structures designed to improve the performance of mining algorithms.

Data Mining in Databases: Languages and Indices

Rosa Meo
2018-01-01

Abstract

Database systems methodologies and technology can provide a significant support to data mining processes. In this chapter we explore approaches which address the integration between data mining activities and DBMSs from different perspectives. More specifically, we focus on (i) specialised query languages which allow to define complex data mining tasks through the submission of query requests, and (ii) indices, i.e., physical data structures designed to improve the performance of mining algorithms.
2018
A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years
Springer
Studies in Big Data
31
341
352
978-3-319-61892-0
https://link.springer.com/content/pdf/10.1007%2F978-3-319-61893-7.pdf
Inductive databases, Data mining, Database indices, Association rules, Specialised query languages
Elena, Baralis; Tania, Cerquitelli; Silvia, Chiusano; Meo, Rosa
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1653384
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