Eugenio Cesario

Computer, April, 2024

A survey of the recent trends in deep learning for literature based discovery in the biomedical domain.

[BibT_eX]

[DOI]

Ester Zumpano

Neurocomputing, February, 2024

Towards a Hierarchical Exascale Framework for Iterative Parallel Data Analysis Algorithms.

[BibT_eX]

[DOI]

Paolo Lindia

Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

2023

Detecting Multi-Density Urban Hotspots in a Smart City: Approaches, Challenges and Applications.

[BibT_eX]

[DOI]

Paolo Lindia

Big Data Cogn. Comput., March, 2023

Forecasting Tsunami Waves Using Regression Trees.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technologies for Disaster Management, 2023

2022

Epidemic forecasting based on mobility patterns: an approach and experimental evaluation on COVID-19 Data.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2022

Multi-density urban hotspots detection in smart cities: A data-driven approach and experiments.

[BibT_eX]

[DOI]

Pervasive Mob. Comput., 2022

Exploiting mobility data to forecast Covid-19 spread.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

Towards Parallel Multi-density Clustering for Urban Hotspots Detection.

[BibT_eX]

[DOI]

Shabnam Zarin

Proceedings of the 29th Euromicro International Conference on Parallel, 2021

2020

Discovering Multi-density Urban Hotspots in a Smart City.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Smart Computing, 2020

2019

Big Data Analysis for Smart City Applications.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Spatio-temporal crime predictions in smart cities: A data-driven approach and experiments.

[BibT_eX]

[DOI]

Pervasive Mob. Comput., 2019

Data analytics for energy-efficient clouds: design, implementation and evaluation.

[BibT_eX]

[DOI]

Int. J. Parallel Emergent Distributed Syst., 2019

Hierarchical Clustering of Spatial Urban Data.

[BibT_eX]

[DOI]

Xiaotian Zhu

Proceedings of the Numerical Computations: Theory and Algorithms, 2019

A Comparative Analysis of Classification and Regression Models for Energy-Efficient Clouds.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

2018

Efficient and scalable execution of smart city parallel applications.

[BibT_eX]

[DOI]

Andrea Giordano

Concurr. Comput. Pract. Exp., 2018

A Data-Driven Approach for Spatio-Temporal Crime Predictions in Smart Cities.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

Distributed Computation of Mobility Patterns in a Smart City Environment.

[BibT_eX]

[DOI]

Franco Cicirelli

Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

2017

Trajectory Pattern Mining for Urban Computing in the Cloud.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2017

An approach for the discovery and validation of urban mobility patterns.

[BibT_eX]

[DOI]

Pervasive Mob. Comput., 2017

SMA4TD: A social media analysis methodology for trajectory discovery in large-scale events.

[BibT_eX]

[DOI]

Online Soc. Networks Media, 2017

Mining frequent items and itemsets from distributed data streams for emergency detection and management.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2017

A Comparative Analysis of Data-Driven Consolidation Policies for Energy-Efficient Clouds.

[BibT_eX]

[DOI]

Proceedings of the 25th Euromicro International Conference on Parallel, 2017

A Data-driven Approach based on Auto-Regressive Models for Energy-Efficient Clouds.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016

Distributed volunteer computing for solving ensemble learning problems.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2016

Nubytics: Scalable cloud services for data analysis and prediction.

[BibT_eX]

[DOI]

Andrea Raffaele Iannazzo

Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Analyzing social media data to discover mobility patterns at EXPO 2015: Methodology and results.

[BibT_eX]

[DOI]

Andrea Raffaele Iannazzo

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

Balancing Speedup and Accuracy in Smart City Parallel Applications.

[BibT_eX]

[DOI]

Andrea Giordano

Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

A Comprehensive Validation Methodology for Trajectory Pattern Mining of GPS Data.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

Forecasting Crimes Using Autoregressive Models.

[BibT_eX]

[DOI]

Charlie Catlett

Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

A Cloud-Based Prediction Framework for Analyzing Business Process Performances.

[BibT_eX]

[DOI]

Proceedings of the Availability, Reliability, and Security in Information Systems, 2016

2015

Energy-Aware Migration of Virtual Machines Driven by Predictive Data Mining Models.

[BibT_eX]

[DOI]

Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

Following soccer fans from geotagged tweets at FIFA World Cup 2014.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2015

Predictive Models for Energy-Efficient Clouds: An Analysis on Real-Life and Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014

A Multi-Domain Architecture for Mining Frequent Items and Itemsets from Distributed Data Streams.

[BibT_eX]

[DOI]

J. Grid Comput., 2014

Trajectory Pattern Mining over a Cloud-Based Framework for Urban Computing.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014

Trajectory Data Analysis Over a Cloud-Based Framework for Smart City Analytics.

[BibT_eX]

[DOI]

Proceedings of the Internet of Things Based on Smart Objects, 2014

2013

Programming knowledge discovery workflows in service-oriented distributed systems.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2013

Using Clouds for Smart City Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

Towards a Cloud-Based Framework for Urban Computing, The Trajectory Analysis Case.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Conference on Cloud and Green Computing, Karlsruhe, Germany, September 30, 2013

2012

Distributed data mining patterns and services: an architecture and experiments.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2012

A Knowledge-based Method for Verifying the Reliability of Clinical DSSs.

[BibT_eX]

[DOI]

Massimo Esposito

Proceedings of the Eighth International Conference on Signal Image Technology and Internet Based Systems, 2012

Verification of clinical guidelines encoded into knowledge-based DSSs.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Using Mining@Home for Distributed Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the Data Management in Cloud, Grid and P2P Systems, 2012

Fault-Tolerant Distributed Knowledge Discovery Services for Grids.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Complex, 2012

A Consistency Checker for verifying the knowledge encoded into clinical DSSs.

[BibT_eX]

[DOI]

Proceedings of CBMS 2012, 2012

2011

A Failure Handling Framework for Distributed Data Mining Services on the Grid.

[BibT_eX]

[DOI]

Proceedings of the 19th International Euromicro Conference on Parallel, 2011

A Sketch-Based Architecture for Mining Frequent Items and Itemsets from Distributed Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE/ACM International Symposium on Cluster, 2011

2010

Using Grids for Exploiting the Abundance of Data in Science.

[BibT_eX]

[DOI]

Scalable Comput. Pract. Exp., 2010

Service-Oriented Data Analysis in Distributed Computing Systems.

[BibT_eX]

[DOI]

Proceedings of the High Performance Computing: From Grids and Clouds to Exascale, 2010

2009

Distributed Data Mining using a Public Resource Computing Framework.

[BibT_eX]

[DOI]

Proceedings of the Grids, 2009

2008

Boosting text segmentation via progressive classification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2008

Random walk biclustering for microarray data.

[BibT_eX]

[DOI]

Fabrizio Angiulli

Clara Pizzuti

Inf. Sci., 2008

The XtreemFS architecture - a case for object-based file systems in Grids.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2008

Striping without Sacrifices: Maintaining POSIX Semantics in a Parallel File System.

[BibT_eX]

[DOI]

Proceedings of the First USENIX Workshop on Large-Scale Computing, 2008

Distributed Data Mining Models as Services on the Grid.

[BibT_eX]

[DOI]

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data.

[BibT_eX]

[DOI]

Giuseppe Manco

Riccardo Ortale

IEEE Trans. Knowl. Data Eng., 2007

From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2007

2006

Advanced approaches to clustering high-dimensional categorical data.

[BibT_eX]

[DOI]

PhD thesis, 2006

A Greedy Search Approach to Co-clustering Sparse Binary Matrices.

[BibT_eX]

[DOI]

Fabrizio Angiulli

Clara Pizzuti

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

2005

RecBoost: A Supervised Approach to Text Segmentation.

[BibT_eX]

Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005

An Incremental Clustering Scheme for Duplicate Detection in Large Databases.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Database Engineering and Applications Symposium (IDEAS 2005), 2005

2004

Putting Enhanced Hypermedia Personalization into Practice via Web Mining.

[BibT_eX]

[DOI]