Archivio Istituzionale della RicercaDatabase 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) specialized 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 / Baralis, ELENA MARIA; Cerquitelli, Tania; Chiusano, SILVIA ANNA; Meo, R. (STUDIES IN BIG DATA). - In: A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years / Flesca S., Greco S., Masciari E., Saccà D.. - STAMPA. - [s.l] : Springer, 2018. - ISBN 978-3-319-61892-0. - pp. 341-351 [10.1007/978-3-319-61893-7_20]
Data Mining in Databases: Languages and Indices
BARALIS, ELENA MARIA;CERQUITELLI, TANIA;CHIUSANO, SILVIA ANNA;
2018
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) specialized 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.
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https://hdl.handle.net/11583/2678074
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