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Fabio Pulvirenti
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2020 – today
- 2021
- [j4]Fabio Pulvirenti
, Francesca Silverii, Maurizio Battaglia
A New Analysis of Caldera Unrest through the Integration of Geophysical Data and FEM Modeling: The Long Valley Caldera Case Study. Remote. Sens. 13(20): 4054 (2021)
2010 – 2019
- 2018
- [b1]Fabio Pulvirenti:
Frequent Itemset Mining for Big Data. Polytechnic University of Turin, Italy, 2018 - 2017
- [j3]Daniele Apiletti
Frequent Itemsets Mining for Big Data: A Comparative Analysis. Big Data Res. 9: 67-83 (2017) - [j2]Daniele Apiletti
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data. Big Data Res. 10: 53-69 (2017) - [j1]Elena Baralis, Luca Cagliero
Discovering profitable stocks for intraday trading. Inf. Sci. 405: 91-106 (2017) - 2016
- [c6]Thibault Debatty, Fabio Pulvirenti, Pietro Michiardi, Wim Mees:
Fast distributed k-nn graph update. IEEE BigData 2016: 3308-3317 - 2015
- [c5]Daniele Apiletti, Paolo Garza
A Review of Scalable Approaches for Frequent Itemset Mining. ADBIS (Short Papers and Workshops) 2015: 243-247 - [c4]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data. ICDM Workshops 2015: 839-846 - 2014
- [c3]Elena Baralis, Luca Cagliero
Misleading Generalized Itemset Mining in the Cloud. ISPA 2014: 211-216 - [c2]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo, Fabio Pulvirenti, Paolo Garza:
MGI-Cloud: discovery of misleading generalized itemsets. SEBD 2014: 45-52 - [c1]Elena Baralis, Luca Cagliero
NEMICO: Mining Network Data through Cloud-Based Data Mining Techniques. UCC 2014: 503-504
Coauthor Index
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