Daniele Apiletti
Title
Cited by
Cited by
Year
Real-time analysis of physiological data to support medical applications
D Apiletti, E Baralis, G Bruno, T Cerquitelli
IEEE transactions on information technology in biomedicine 13 (3), 313-321, 2009
1012009
Characterizing network traffic by means of the NetMine framework
D Apiletti, E Baralis, T Cerquitelli, V D’Elia
Computer Networks 53 (6), 774-789, 2009
442009
Frequent itemsets mining for big data: a comparative analysis
D Apiletti, E Baralis, T Cerquitelli, P Garza, F Pulvirenti, L Venturini
Big Data Research 9, 67-83, 2017
432017
Energy-saving models for wireless sensor networks
D Apiletti, E Baralis, T Cerquitelli
Knowledge and Information Systems 28 (3), 615-644, 2011
342011
Energy signature analysis: Knowledge at your fingertips
A Acquaviva, D Apiletti, A Attanasio, E Baralis, L Bottaccioli, ...
2015 IEEE International Congress on Big Data, 543-550, 2015
302015
Data cleaning and semantic improvement in biological databases
D Apiletti, G Bruno, E Ficarra, E Baralis
Journal of Integrative Bioinformatics 3 (2), 219-229, 2006
292006
Searum: A cloud-based service for association rule mining
D Apiletti, E Baralis, T Cerquitelli, S Chiusano, L Grimaudo
2013 12th IEEE International Conference on Trust, Security and Privacy in …, 2013
262013
SeLINA: A self-learning insightful network analyzer
D Apiletti, E Baralis, T Cerquitelli, P Garza, D Giordano, M Mellia, ...
IEEE Transactions on Network and Service Management 13 (3), 696-710, 2016
252016
A parallel mapreduce algorithm to efficiently support itemset mining on high dimensional data
D Apiletti, E Baralis, T Cerquitelli, P Garza, F Pulvirenti, P Michiardi
Big Data Research 10, 53-69, 2017
232017
iSTEP, an integrated Self-Tuning Engine for Predictive maintenance in Industry 4.0
D Apiletti, C Barberis, T Cerquitelli, A Macii, E Macii, M Poncino, F Ventura
2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2018
152018
Metatech: Meteorological data analysis for thermal energy characterization by means of self-learning transparent models
E Di Corso, T Cerquitelli, D Apiletti
Energies 11 (6), 1336, 2018
132018
PaMPa-HD: A parallel MapReduce-based frequent pattern miner for high-dimensional data
D Apiletti, E Baralis, T Cerquitelli, P Garza, P Michiardi, F Pulvirenti
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 839-846, 2015
132015
Enhancing Energy Awareness Through the Analysis of Thermal Energy Consumption.
A Acquaviva, D Apiletti, A Attanasio, E Baralis, FB Castagnetti, ...
EDBT/ICDT Workshops, 64-71, 2015
122015
Maskedpainter: feature selection for microarray data analysis
D Apiletti, E Baralis, G Bruno, A Fiori
Intelligent Data Analysis 16 (4), 717-737, 2012
122012
The painter's feature selection for gene expression data
D Apiletti, E Baralis, G Bruno, A Fiori
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
102007
SaFe-NeC: A scalable and flexible system for network data characterization
D Apiletti, E Baralis, T Cerquitelli, P Garza, L Venturini
NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium, 812-816, 2016
92016
A new unsupervised predictive-model self-assessment approach that SCALEs
F Ventura, S Proto, D Apiletti, T Cerquitelli, S Panicucci, E Baralis, E Macii, ...
2019 IEEE International Congress on Big Data (BigDataCongress), 144-148, 2019
82019
REDTag: a predictive maintenance framework for parcel delivery services
S Proto, E Di Corso, D Apiletti, L Cagliero, T Cerquitelli, G Malnati, ...
IEEE Access 8, 14953-14964, 2020
62020
PREMISES, a scalable data-driven service to predict alarms in slowly-degrading multi-cycle industrial processes
S Proto, F Ventura, D Apiletti, T Cerquitelli, E Baralis, E Macii, A Macii
2019 IEEE International Congress on Big Data (BigDataCongress), 139-143, 2019
62019
Forecasting Heating Consumption in Buildings: A Scalable Full-Stack Distributed Engine
A Acquaviva, D Apiletti, A Attanasio, E Baralis, L Bottaccioli, T Cerquitelli, ...
Electronics 8 (5), 491, 2019
62019
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Articles 1–20