Daniele Apiletti

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Elena BaralisFull Professor, Computer engineering, Politecnico di Torino, ItalyDirección de correo verificada de polito.it
Tania CerquitelliPolitecnico di TorinoDirección de correo verificada de polito.it
Paolo GarzaAssociate Professor, Politecnico di TorinoDirección de correo verificada de polito.it
Silvia ChiusanoPolitecnico di TorinoDirección de correo verificada de polito.it
Fabio PulvirentiPhD @ Politecnico di TorinoDirección de correo verificada de polito.it
Enrico MaciiPolitecnico di TorinoDirección de correo verificada de polito.it
Luca VenturiniPolitecnico di TorinoDirección de correo verificada de polito.it
Luigi GrimaudoPolitecnico di TorinoDirección de correo verificada de polito.it
Francesco VenturaPhD student at DAUIN - Politecnico di TorinoDirección de correo verificada de polito.it
Antonio AttanasioPolitecnico di TorinoDirección de correo verificada de polito.it
Andrea AcquavivaFull Professor, Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi"Dirección de correo verificada de unibo.it
Edoardo PattiDept. of Control and Computer Engineering, Politecnico di TorinoDirección de correo verificada de polito.it
Stefano ProtoPolitecnico di TorinoDirección de correo verificada de polito.it
Elisa FicarraAssociate Professor, Dept. of Computer Engineering, Politecnico di TorinoDirección de correo verificada de polito.it
Marco MelliaPolitecnico di Torino, italyDirección de correo verificada de polito.it
Danilo GiordanoAssistant Professor, Politecnico di TorinoDirección de correo verificada de polito.it
Alessandro FioriIRCCDirección de correo verificada de ircc.it
Lorenzo BottaccioliPolitecnico di TorinoDirección de correo verificada de polito.it
Pietro MichiardiEURECOMDirección de correo verificada de eurecom.fr
Evelina Di CorsoPolitecnico di TorinoDirección de correo verificada de polito.it

Daniele Apiletti

Politecnico di Torino

Dirección de correo verificada de polito.it

data science machine learning data mining data management and analytics NoSQL and Big Data


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	97	2009
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	44	2009
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	36	2017
Energy-saving models for wireless sensor networks D Apiletti, E Baralis, T Cerquitelli Knowledge and Information Systems 28 (3), 615-644, 2011	34	2011
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	29	2015
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	27	2006
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	25	2013
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	22	2016
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	21	2017
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	13	2015
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	12	2018
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	12	2015
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	11	2018
Maskedpainter: feature selection for microarray data analysis D Apiletti, E Baralis, G Bruno, A Fiori Intelligent Data Analysis 16 (4), 717-737, 2012	11	2012
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	9	2007
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	8	2016
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	6	2019
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	5	2019
BAC: a bagged associative classifier for Big Data frameworks L Venturini, P Garza, D Apiletti East European Conference on Advances in Databases and Information Systems …, 2016	5	2016
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	4	2019

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