%0 Journal Article %J Concurrency and Computation: Practice and Experience %D 2014 %T Decision tree building on multi-core using FastFlow %A Aldinucci, Marco %A Salvatore Ruggieri %A Torquati, Massimo %X The whole computer hardware industry embraced the multi-core. The extreme optimisation of sequential algorithms is then no longer sufficient to squeeze the real machine power, which can be only exploited via thread-level parallelism. Decision tree algorithms exhibit natural concurrency that makes them suitable to be parallelised. This paper presents an in-depth study of the parallelisation of an implementation of the C4.5 algorithm for multi-core architectures. We characterise elapsed time lower bounds for the forms of parallelisations adopted and achieve close to optimal performance. Our implementation is based on the FastFlow parallel programming environment, and it requires minimal changes to the original sequential code. Copyright © 2013 John Wiley & Sons, Ltd. %B Concurrency and Computation: Practice and Experience %V 26 %P 800–820 %G eng %R 10.1002/cpe.3063 %0 Conference Paper %B Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on %D 2013 %T Data Anonymity Meets Non-discrimination %A Salvatore Ruggieri %B Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on %I IEEE %G eng %0 Book Section %B Discrimination and privacy in the information society %D 2013 %T The discovery of discrimination %A Dino Pedreschi %A Salvatore Ruggieri %A Franco Turini %B Discrimination and privacy in the information society %I Springer %P 91–108 %G eng %0 Journal Article %J Expert Systems with Applications %D 2013 %T Discrimination discovery in scientific project evaluation: A case study %A Andrea Romei %A Salvatore Ruggieri %A Franco Turini %B Expert Systems with Applications %V 40 %P 6064–6079 %G eng %0 Conference Paper %B KDD %D 2008 %T Discrimination-aware data mining %A Dino Pedreschi %A Salvatore Ruggieri %A Franco Turini %B KDD %P 560-568 %0 Conference Paper %B ITCC %D 2001 %T Data Mining for Intelligent Web Caching %A Francesco Bonchi %A Fosca Giannotti %A Giuseppe Manco %A Chiara Renso %A Mirco Nanni %A Dino Pedreschi %A Salvatore Ruggieri %B ITCC %P 599-603 %G eng %0 Conference Paper %B ITCC %D 2001 %T Data Mining for Intelligent Web Caching %A Francesco Bonchi %A Fosca Giannotti %A Giuseppe Manco %A Chiara Renso %A Mirco Nanni %A Dino Pedreschi %A Salvatore Ruggieri %B ITCC %P 599-603 %G eng