Luigi Pontieri

138 papers A* 1A 5B 11C 14Misc 2Journal 43Unranked 60
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sustainable hybrid text classification: Enhancing encoder-only language models with NLI-derived pseudo-examples.
Array
Cristian Cosentino, Francesco Folino, Fabrizio Marozzo, Luigi Pontieri
2025 — conf
AI for sustainability should be sustainable in its own: results from project FAIR-Spoke 9.
Ital-IA
Luigi Pontieri, Pietro Sabatino, Francesco Scala
2025 J jnl
An efficient model training framework for green AI.
Mach. Learn.
Francesco Scala, Sergio Flesca, Luigi Pontieri
2025 J jnl
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams.
CoRR
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri, Francesco Scala
2025 J jnl
Discovering ensembles of small language models out of scarcely labelled data for fake news detection.
Appl. Soft Comput.
Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari
2025 J jnl
Explainable Knowledge-Aware Process Intelligence.
Künstliche Intell.
Eva Piccirilli, Claudio Di Ciccio, Marco Montali, Rafael Peñaloza, Luigi Pontieri, Francesco Ricca
2025 J jnl
Generating multiperspective process traces using conditional variational autoencoders.
Process Sci.
Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri
2025 B conf
Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack Detection.
DS
Francesco Scala, Massimo Guarascio, Carlo Parrotta, Luigi Pontieri
2025 J jnl
The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding.
Soft Comput.
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2025 J jnl
Toward trustworthy and sustainable clinical decision support by training ensembles of specialized logistic regressors.
Neural Comput. Appl.
Alfredo Cuzzocrea, Francesco Folino, Luigi Pontieri, Pietro Sabatino, Maryam Samami
2025 B conf
Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural Networks.
DS
Liliana Martirano, Francesco Scala, Carmela Comito, Luigi Pontieri
2024 C conf
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain.
PDP
Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino, Luigi Pontieri
2024 — conf
DPET: A Data and Parameter Efficient Training Framework for Green AI (SHORT PAPER).
GreenAI@AI*IA
Francesco Scala, Luigi Pontieri, Sergio Flesca
2024 — conf
Data Filtering for a Sustainable Model Training.
SEBD
Francesco Scala, Sergio Flesca, Luigi Pontieri
2024 J jnl
Data- & compute-efficient deviance mining via active learning and fast ensembles.
J. Intell. Inf. Syst.
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2024 J jnl
Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts.
CoRR
Francesco Folino, Luigi Pontieri, Pietro Sabatino
2024 J jnl
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques.
J. Big Data
Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino
2024 B conf
Generating the Traces You Need: A Conditional Generative Model for Process Mining Data.
ICPM
Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri
2024 J jnl
Generating the Traces You Need: A Conditional Generative Model for Process Mining Data.
CoRR
Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri
2024 — conf
Play it Straight: An Intelligent Data Pruning Technique for Green-AI.
DS (1)
Francesco Scala, Sergio Flesca, Luigi Pontieri
2024 J jnl
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models.
SN Comput. Sci.
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari
2023 J jnl
An Explainable Deep Ensemble Framework for Intelligent Ticket Management.
ERCIM News
Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari
2023 — conf
Explainable Process Deviance Discovery with Data-Efficient Deep Learning.
NUMTA (1)
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2023 — conf
Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora.
ICEIS (1)
Paolo Zicari, Massimo Guarascio, Luigi Pontieri, Gianluigi Folino
2023 — conf
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction.
ICPM Workshops
Francesco Folino, Luigi Pontieri, Pietro Sabatino
2022 C conf
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery.
ISMIS
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2022 J jnl
Combining deep ensemble learning and explanation for intelligent ticket management.
Expert Syst. Appl.
Paolo Zicari, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2022 J jnl
Corrigendum to "Process mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation" [Inform. Syst. 107 (2022) 101987].
Inf. Syst.
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri
2022 — conf
Declarative Mining of Business Processes via ASP.
PMAI@IJCAI
Antonio Ielo, Francesco Ricca, Luigi Pontieri
2022 — conf
Explainable Interpretation of Low-Level Process Traces via Abstract Argumentation.
PMAI@IJCAI
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri
2022 J jnl
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation.
Inf. Syst.
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri
2022 J jnl
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs.
Bus. Inf. Syst. Eng.
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2021 J jnl
AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion.
J. Data Semant.
Francesco Folino, Luigi Pontieri
2021 — conf
Argumentation Meets Process Mining: an Architecture for Log Interpretation.
AI³@AI*IA
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri
2021 J jnl
Correction to: AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion.
J. Data Semant.
Francesco Folino, Luigi Pontieri
2021 Misc conf
Discovering accurate deep learning based predictive models for automatic customer support ticket classification.
SAC
Paolo Zicari, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2021 J jnl
On learning effective ensembles of deep neural networks for intrusion detection.
Inf. Fusion
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Francesco Sergio Pisani, Luigi Pontieri
2020 J jnl
A GP-based ensemble classification framework for time-changing streams of intrusion detection data.
Soft Comput.
Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri
2020 — conf
A Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances.
PKDD/ECML Workshops
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2020 C conf
A p2p environment to validate ensemble-based approaches in the cybersecurity domain.
PDP
Francesco Folino, Gianluigi Folino, Luigi Pontieri
2020 J jnl
An ensemble-based approach to the security-oriented classification of low-level log traces.
Expert Syst. Appl.
Bettina Fazzinga, Francesco Folino, Filippo Furfaro, Luigi Pontieri
2020 — conf
Exploiting Temporal Convolution for Activity Prediction in Process Analytics.
PKDD/ECML Workshops
Francesco Folino, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Luigi Pontieri, Ettore Ritacco
2019 — conf
A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning.
NUMTA(1)
Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri
2019 — ch.
Business Process Deviance Mining.
Encyclopedia of Big Data Technologies
Francesco Folino, Luigi Pontieri
2019 B conf
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data.
ICTAI
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
2019 J jnl
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events.
Inf. Syst.
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2019 — conf
Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs.
Business Process Management Workshops
Francesco Folino, Luigi Pontieri
2019 — conf
Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks.
GECCO (Companion)
Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino, Maryam Amir Haeri
2018 — ch.
20+ Years of Analytics on Complex Data: Impact, Issues, Challenges and Contributions.
A Comprehensive Guide Through the Italian Database Research
Stefano Basta, Giuseppe Manco, Elio Masciari, Luigi Pontieri
2018 C conf
A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events.
IDEAS
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2018 — conf
An Ensemble-Based P2P Framework for the Detection of Deviant Business Process Instances.
HPCS
Francesco Folino, Gianluigi Folino, Luigi Pontieri
2018 — conf
Combining Model- and Example-Driven Classification to Detect Security Breaches in Activity-Unaware Logs.
OTM Conferences (2)
Bettina Fazzinga, Francesco Folino, Filippo Furfaro, Luigi Pontieri
2018 J jnl
Deviance-Aware Discovery of High-Quality Process Models.
Int. J. Artif. Intell. Tools
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2018 J jnl
Efficiently interpreting traces of low level events in business process logs.
Inf. Syst.
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri
2018 — conf
On the Interpretation of Traces of Low Level Events in Business Process Logs.
SEBD
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri
2018 J jnl
Online and offline classification of traces of event logs on the basis of security risks.
J. Intell. Inf. Syst.
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri
2018 A conf
Process Discovery from Low-Level Event Logs.
CAiSE
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri
2017 — conf
A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data.
HPCS
Francesco Folino, Gianluigi Folino, Luigi Pontieri, Pietro Sabatino
2017 Misc conf
A descriptive clustering approach to the analysis of quantitative business-process deviances.
SAC
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017 B conf
Deviance-Aware Discovery of High Quality Process Models.
ICTAI
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017 — conf
Experimenting and Assessing a Probabilistic Business Process Deviance Mining Framework Based on Ensemble Learning.
ICEIS (Revised Selected Papers)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2017 — conf
Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-learning Framework for Detecting Deviances in Business Process Instances.
ICEIS (1)
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2016 — conf
A Cloud-Based Prediction Framework for Analyzing Business Process Performances.
CD-ARES
Eugenio Cesario, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2016 J jnl
A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances.
Int. J. Cooperative Inf. Syst.
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2016 B conf
A multi-view multi-dimensional ensemble learning approach to mining business process deviances.
IJCNN
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2016 — conf
Efficient Analysis of Process Logs.
SEBD
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri, Chiara Pulice
2016 C conf
How, Who and When: Enhancing Business Process Warehouses By Graph Based Queries.
IDEAS
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri, Chiara Pulice
2015 C conf
A Framework Supporting the Analysis of Process Logs Stored in Either Relational or NoSQL DBMSs.
ISMIS
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri, Chiara Pulice
2015 — conf
A Multi-view Learning Approach to the Discovery of Deviant Process Instances.
OTM Conferences
Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2015 B conf
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators.
EDOC
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2015 — conf
A Probabilistic Unified Framework for Event Abstraction and Process Detection from Log Data.
OTM Conferences
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri
2015 B conf
A compression-based framework for the efficient analysis of business process logs.
SSDBM
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri
2015 — conf
Classifying Traces of Event Logs on the Basis of Security Risks.
NFMCP
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri
2015 — conf
Mining Multi-variant Process Models from Low-Level Logs.
BIS
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2015 — conf
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes.
ICEIS (1)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2015 J jnl
Process Discovery under Precedence Constraints.
ACM Trans. Knowl. Discov. Data
Gianluigi Greco, Antonella Guzzo, Francesco Lupia, Luigi Pontieri
2014 — conf
A Framework for the Discovery of Predictive Fix-time Models.
ICEIS (1)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2014 — conf
An Approach to the Discovery of Accurate and Expressive Fix-Time Prediction Models.
ICEIS (Revised Selected Papers)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2014 A conf
Mining Predictive Process Models out of Low-level Multidimensional Logs.
CAiSE
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013 — conf
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances.
ICEIS
Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013 — conf
A Data-adaptive Trace Abstraction Approach to the Prediction of Business Process Performances.
ICEIS (1)
Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013 — conf
Adaptive Trace Abstraction Approach for Predicting Business Process Performances.
SEBD
Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013 — conf
Discovering High-Level Performance Models for Ticket Resolution Processes.
OTM Conferences
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2013 J jnl
Methods and techniques for discovering taxonomies of behavioral process models.
WIREs Data Mining Knowl. Discov.
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2013 — conf
Reasoning about Precedence Constraints for Process Mining Applications.
SEBD
Gianluigi Greco, Antonella Guzzo, Francesco Lupia, Luigi Pontieri
2012 — conf
Context-Aware Predictions on Business Processes: An Ensemble-Based Solution.
NFMCP
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2012 — conf
Discovering Context-Aware Models for Predicting Business Process Performances.
OTM Conferences (1)
Francesco Folino, Massimo Guarascio, Luigi Pontieri
2012 A conf
Process Discovery via Precedence Constraints.
ECAI
Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2011 J jnl
Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction.
Data Knowl. Eng.
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2011 — conf
Process Mining Manifesto.
Business Process Management Workshops (1)
Wil M. P. van der Aalst, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, R. P. Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos C. A. M. Buijs, Andrea Burattin, Josep Carmona, Malú Castellanos, Jan Claes, Jonathan E. Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano de Leoni, Pavlos Delias, Boudewijn F. van Dongen, Marlon Dumas, Schahram Dustdar, Dirk Fahland, Diogo R. Ferreira, Walid Gaaloul, Frank van Geffen, Sukriti Goel, Christian W. Günther, Antonella Guzzo, Paul Harmon, Arthur H. M. ter Hofstede, John Hoogland, Jon Espen Ingvaldsen, Koki Kato, Rudolf Kuhn, Akhil Kumar, Marcello La Rosa, Fabrizio Maria Maggi, Donato Malerba, R. S. Mans, Alberto Manuel, Martin McCreesh, Paola Mello, Jan Mendling, Marco Montali, Hamid R. Motahari Nezhad, Michael zur Muehlen, Jorge Munoz-Gama, Luigi Pontieri, Joel Ribeiro, Anne Rozinat, Hugo Seguel Pérez, Ricardo Seguel Pérez, Marcos Sepúlveda, Jim Sinur, Pnina Soffer, Minseok Song, Alessandro Sperduti, Giovanni Stilo, Casper Stoel, Keith D. Swenson, Maurizio Talamo, Wei Tan, Chris Turner, Jan Vanthienen, George Varvaressos, Eric Verbeek, Marc Verdonk, Roberto Vigo, Jianmin Wang, Barbara Weber, Matthias Weidlich, Ton Weijters, Lijie Wen, Michael Westergaard, Moe Thandar Wynn
2010 J jnl
Coclustering Multiple Heterogeneous Domains: Linear Combinations and Agreements.
IEEE Trans. Knowl. Data Eng.
Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2010 — conf
Effective Analysis of Flexible Collaboration Processes by Way of Abstraction and Mining Techniques.
ICEIS (2)
Alfredo Cuzzocrea, Francesco Folino, Luigi Pontieri
2010 — conf
Scalable parallel co-clustering over multiple heterogeneous data types.
HPCS
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2009 C conf
Discovering expressive process models from noised log data.
IDEAS
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2008 — conf
A Knowledge-Based Framework for Supporting and Analysing Loosely Structured Collaborative Processes.
ADBIS (local proceedings)
Stefano Basta, Francesco Folino, Andrea Gualtieri, Marco Antonio Mastratisi, Luigi Pontieri
2008 — conf
Discovering Multi-Perspective Process Models.
ICEIS (2)
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2008 — conf
Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes.
ICEIS
Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2008 J jnl
Enhancing histograms by tree-like bucket indices.
VLDB J.
Francesco Buccafurri, Gianluca Lax, Domenico Saccà, Luigi Pontieri, Domenico Rosaci
2008 J jnl
Mining taxonomies of process models.
Data Knowl. Eng.
Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2008 C conf
Outlier Detection Techniques for Process Mining Applications.
ISMIS
Lucantonio Ghionna, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2008 — conf
Outlier Detection Techniques for Process Mining Applications.
SEBD
Lucantonio Ghionna, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2007 — conf
An Information-Theoretic Framework for High-Order Co-Clustering of Heterogeneous Objects.
SEBD
Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2007 J jnl
An Information-Theoretic Framework for Process Structure and Data Mining.
Int. J. Data Warehous. Min.
Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2007 J jnl
Exploiting structural similarity for effective Web information extraction.
Data Knowl. Eng.
Sergio Flesca, Giuseppe Manco, Elio Masciari, Luigi Pontieri, Andrea Pugliese
2006 — conf
An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects.
ECML
Antonio D. Chiaravalloti, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2006 B conf
An Information-Theoretic Framework for Process Structure and Data Mining.
DaWaK
Antonio D. Chiaravalloti, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2006 J jnl
Discovering Expressive Process Models by Clustering Log Traces.
IEEE Trans. Knowl. Data Eng.
Gianluigi Greco, Antonella Guzzo, Luigi Pontieri, Domenico Saccà
2006 C conf
Effective Incremental Clustering for Duplicate Detection in Large Databases.
IDEAS
Francesco Folino, Giuseppe Manco, Luigi Pontieri
2006 — conf
Effective Incremental Clustering for Duplicate Detection in Large Databases.
SEBD
Francesco Folino, Giuseppe Manco, Luigi Pontieri
2005 — conf
A Data Mining-based Framework for GridWorkflow Management.
QSIC
Antonio Congiusta, Domenico Talia, Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Luigi Pontieri, Domenico Saccà
2005 C conf
An Incremental Clustering Scheme for Duplicate Detection in Large Databases.
IDEAS
Eugenio Cesario, Francesco Folino, Giuseppe Manco, Luigi Pontieri
2005 J jnl
Enhancing Histograms by Tree-Like Bucket Indices
CoRR
Francesco Buccafurri, Gianluca Lax, Domenico Saccà, Luigi Pontieri, Domenico Rosaci
2005 — conf
Exploiting Structural Similarity For Effective Web Information Extraction.
Foundations of Semistructured Data
Elio Masciari, Sergio Flesca, Giuseppe Manco, Luigi Pontieri, Andrea Pugliese
2005 J jnl
Fast Detection of XML Structural Similarity.
IEEE Trans. Knowl. Data Eng.
Sergio Flesca, Giuseppe Manco, Elio Masciari, Luigi Pontieri, Andrea Pugliese
2005 A conf
Mining Hierarchies of Models: From Abstract Views to Concrete Specifications.
Business Process Management
Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
2004 C conf
An Ontology-Driven Process Modeling Framework.
DEXA
Gianluigi Greco, Antonella Guzzo, Luigi Pontieri, Domenico Saccà
2004 — conf
Mining Constrained Graphs: The Case of Workflow Systems.
Constraint-Based Mining and Inductive Databases
Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Luigi Pontieri, Domenico Saccà
2004 B conf
Mining Expressive Process Models by Clustering Workflow Traces.
PAKDD
Gianluigi Greco, Antonella Guzzo, Luigi Pontieri, Domenico Saccà
2004 — conf
On the Mining of Complex Schemas.
SEBD
Gianluigi Greco, Antonella Guzzo, Luigi Pontieri, Domenico Saccà
2003 — conf
A Prototypal Environment for Collaborative Work within a Research Organization.
DEXA Workshops
M. Ettorre, Luigi Pontieri, Massimo Ruffolo, Pasquale Rullo, Domenico Saccà
2003 J jnl
An approach for the extensional integration of data sources with heterogeneous representation formats.
Data Knowl. Eng.
Luigi Pontieri, Domenico Ursino, Ester Zumpano
2002 — conf
A Model and a Framework for Defining Networks of Multidimensional Data Marts.
SEBD
Paolo Naggar, Luigi Pontieri, Mariella Pupo, Giorgio Terracina, Emanuela Virardi
2002 C conf
A Model and a Toolkit for Supporting Incremental Data Warehouse Construction.
DEXA
Paolo Naggar, Luigi Pontieri, Mariella Pupo, Giorgio Terracina, Emanuela Virardi
2002 J jnl
A novel three-level architecture for large data warehouses.
J. Syst. Archit.
Luigi Palopoli, Luigi Pontieri, Giorgio Terracina, Domenico Ursino
2002 A conf
An Approach for Synergically Carrying out Intensional and Extensional Integration of Data Sources Having Different Formats.
CAiSE
Luigi Pontieri, Domenico Ursino, Ester Zumpano
2002 — conf
Detecting Structural Similarities between XML Documents.
WebDB
Sergio Flesca, Giuseppe Manco, Elio Masciari, Luigi Pontieri, Andrea Pugliese
2002 — conf
Fast Detection of XML Structural Similarity.
SEBD
Sergio Flesca, Giuseppe Manco, Elio Masciari, Luigi Pontieri, Andrea Pugliese
2002 A* conf
Improving Range Query Estimation on Histograms.
ICDE
Francesco Buccafurri, Domenico Rosaci, Luigi Pontieri, Domenico Saccà
2001 — conf
A Technique for Information System Integration.
ISTA
Sergio Greco, Luigi Pontieri, Ester Zumpano
2001 J jnl
Combining inductive and deductive tools for data analysis.
AI Commun.
Sergio Greco, Elio Masciari, Luigi Pontieri
2001 — conf
Integrating Possibly Conflicting Data.
SEBD
Sergio Greco, Luigi Pontieri, Ester Zumpano
2001 — conf
Integrating and Managing Conflicting Data.
Ershov Memorial Conference
Sergio Greco, Luigi Pontieri, Ester Zumpano
2000 B conf
A Hybrid Technique for Data Mining on Balance-Sheet Data.
DaWaK
Giuseppe Dattilo, Sergio Greco, Elio Masciari, Luigi Pontieri
2000 C conf
Combining Different Data Mining Techniques to Improve Data Analysis.
FQAS
Sergio Greco, Elio Masciari, Luigi Pontieri
2000 J jnl
Intensional and extensional integration and abstraction of heterogeneous databases.
Data Knowl. Eng.
Luigi Palopoli, Luigi Pontieri, Giorgio Terracina, Domenico Ursino
2000 — conf
Un sistema per la classificazione dei bilanci aziendali.
SEBD
Giuseppe Dattilo, Elio Masciari, Luigi Pontieri
1999 C conf
Automatic and Semantic Techniques for Scheme Integration and Scheme Abstraction.
DEXA
Luigi Palopoli, Luigi Pontieri, Domenico Ursino
1999 — conf
Progettazione Semi-Automatica di Data Warehouse di Grandi Dimensioni .
SEBD
Luigi Palopoli, Luigi Pontieri, Domenico Saccà, Domenico Ursino