Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications
Crossref DOI link: https://doi.org/10.1007/s10618-019-00643-1
Published Online: 2019-07-20
Published Print: 2019-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Saccá, Domenico http://orcid.org/0000-0003-3584-5372
Serra, Edoardo
Rullo, Antonino
Funding for this research was provided by:
MISE, Italian Ministry for Industry (PON ID Service and Protect ID)
Text and Data Mining valid from 2019-07-20
Version of Record valid from 2019-07-20
Article History
Received: 3 August 2017
Accepted: 5 July 2019
First Online: 20 July 2019