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2020 – today
- 2024
[j31]Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino:
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques. J. Big Data 11(1): 77 (2024)- [j30]Francesco Folino, Gianluigi Folino, Massimo Guarascio
, Luigi Pontieri:
Data- & compute-efficient deviance mining via active learning and fast ensembles. J. Intell. Inf. Syst. 62(4): 995-1019 (2024) - [j29]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari:
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models. SN Comput. Sci. 5(5): 470 (2024) - [c86]Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri:
Generating the Traces You Need: A Conditional Generative Model for Process Mining Data. ICPM 2024: 25-32 - [c85]Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino, Luigi Pontieri:
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain. PDP 2024: 245-252 - [c84]Francesco Scala, Sergio Flesca, Luigi Pontieri:
Data Filtering for a Sustainable Model Training. SEBD 2024: 205-216 - [i5]Francesco Folino, Luigi Pontieri, Pietro Sabatino:
Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts. CoRR abs/2407.13526 (2024) - [i4]Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri:
Generating the Traces You Need: A Conditional Generative Model for Process Mining Data. CoRR abs/2411.02131 (2024) - 2023
- [c83]Paolo Zicari, Massimo Guarascio, Luigi Pontieri, Gianluigi Folino:
Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora. ICEIS (1) 2023: 344-353 - [c82]Francesco Folino, Luigi Pontieri, Pietro Sabatino:
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction. ICPM Workshops 2023: 141-152 - [i3]Gianluigi Folino, Massimo Guarascio, Luigi Pontieri, Paolo Zicari:
An Explainable Deep Ensemble Framework for Intelligent Ticket Management. ERCIM News 2023(134) (2023) - 2022
- [j28]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs. Bus. Inf. Syst. Eng. 64(6): 729-749 (2022) - [j27]Paolo Zicari, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Combining deep ensemble learning and explanation for intelligent ticket management. Expert Syst. Appl. 206: 117815 (2022) - [j26]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri:
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation. Inf. Syst. 107: 101987 (2022) - [j25]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri:
Corrigendum to "Process mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation" [Inform. Syst. 107 (2022) 101987]. Inf. Syst. 110: 102103 (2022) - [c81]Antonio Ielo, Francesco Ricca, Luigi Pontieri:
Declarative Mining of Business Processes via ASP. PMAI@IJCAI 2022: 105-108 - [c80]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri:
Explainable Interpretation of Low-Level Process Traces via Abstract Argumentation. PMAI@IJCAI 2022: 109-112 - [c79]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery. ISMIS 2022: 346-356 - 2021
- [j24]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Francesco Sergio Pisani, Luigi Pontieri:
On learning effective ensembles of deep neural networks for intrusion detection. Inf. Fusion 72: 48-69 (2021) - [j23]Francesco Folino, Luigi Pontieri:
AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion. J. Data Semant. 10(1-2): 77-106 (2021) - [j22]Francesco Folino, Luigi Pontieri:
Correction to: AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion. J. Data Semant. 10(3-4): 409 (2021) - [c78]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri:
Argumentation Meets Process Mining: an Architecture for Log Interpretation. AI³@AI*IA 2021 - [c77]Paolo Zicari, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Discovering accurate deep learning based predictive models for automatic customer support ticket classification. SAC 2021: 1098-1101 - 2020
- [j21]Bettina Fazzinga, Francesco Folino, Filippo Furfaro, Luigi Pontieri:
An ensemble-based approach to the security-oriented classification of low-level log traces. Expert Syst. Appl. 153: 113386 (2020) - [j20]Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri:
A GP-based ensemble classification framework for time-changing streams of intrusion detection data. Soft Comput. 24(23): 17541-17560 (2020) - [c76]Francesco Folino, Gianluigi Folino, Luigi Pontieri:
A p2p environment to validate ensemble-based approaches in the cybersecurity domain. PDP 2020: 344-351 - [c75]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
A Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances. PKDD/ECML Workshops 2020: 249-262 - [c74]Francesco Folino, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Luigi Pontieri, Ettore Ritacco:
Exploiting Temporal Convolution for Activity Prediction in Process Analytics. PKDD/ECML Workshops 2020: 263-275
2010 – 2019
- 2019
- [j19]Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events. Inf. Syst. 81: 236-266 (2019) - [c73]Francesco Folino, Luigi Pontieri:
Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs. Business Process Management Workshops 2019: 5-11 - [c72]Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino, Maryam Amir Haeri:
Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks. GECCO (Companion) 2019: 167-168 - [c71]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data. ICTAI 2019: 1396-1400 - [c70]Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri:
A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning. NUMTA(1) 2019: 269-277 - [r1]Francesco Folino, Luigi Pontieri:
Business Process Deviance Mining. Encyclopedia of Big Data Technologies 2019 - 2018
- [j18]Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Deviance-Aware Discovery of High-Quality Process Models. Int. J. Artif. Intell. Tools 27(7): 1860009:1-1860009:27 (2018) - [j17]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri:
Efficiently interpreting traces of low level events in business process logs. Inf. Syst. 73: 1-24 (2018) - [j16]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri:
Online and offline classification of traces of event logs on the basis of security risks. J. Intell. Inf. Syst. 50(1): 195-230 (2018) - [c69]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri:
Process Discovery from Low-Level Event Logs. CAiSE 2018: 257-273 - [c68]Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events. IDEAS 2018: 165-174 - [c67]Francesco Folino, Gianluigi Folino, Luigi Pontieri:
An Ensemble-Based P2P Framework for the Detection of Deviant Business Process Instances. HPCS 2018: 122-129 - [c66]Bettina Fazzinga, Francesco Folino, Filippo Furfaro, Luigi Pontieri:
Combining Model- and Example-Driven Classification to Detect Security Breaches in Activity-Unaware Logs. OTM Conferences (2) 2018: 173-190 - [c65]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri:
On the Interpretation of Traces of Low Level Events in Business Process Logs. SEBD 2018 - [p1]Stefano Basta, Giuseppe Manco, Elio Masciari, Luigi Pontieri:
20+ Years of Analytics on Complex Data: Impact, Issues, Challenges and Contributions. A Comprehensive Guide Through the Italian Database Research 2018: 353-374 - 2017
- [c64]Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Experimenting and Assessing a Probabilistic Business Process Deviance Mining Framework Based on Ensemble Learning. ICEIS (Revised Selected Papers) 2017: 96-124 - [c63]Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-learning Framework for Detecting Deviances in Business Process Instances. ICEIS (1) 2017: 162-173 - [c62]Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Deviance-Aware Discovery of High Quality Process Models. ICTAI 2017: 724-731 - [c61]Francesco Folino, Gianluigi Folino, Luigi Pontieri, Pietro Sabatino:
A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data. HPCS 2017: 769-776 - [c60]Francesco Folino, Massimo Guarascio, Luigi Pontieri:
A descriptive clustering approach to the analysis of quantitative business-process deviances. SAC 2017: 765-770 - 2016
- [j15]Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances. Int. J. Cooperative Inf. Syst. 25(4): 1740003:1-1740003:56 (2016) - [c59]Eugenio Cesario, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
A Cloud-Based Prediction Framework for Analyzing Business Process Performances. CD-ARES 2016: 63-80 - [c58]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri, Chiara Pulice:
How, Who and When: Enhancing Business Process Warehouses By Graph Based Queries. IDEAS 2016: 242-247 - [c57]Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
A multi-view multi-dimensional ensemble learning approach to mining business process deviances. IJCNN 2016: 3809-3816 - [c56]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri, Chiara Pulice:
Efficient Analysis of Process Logs. SEBD 2016: 214-221 - 2015
- [j14]Gianluigi Greco, Antonella Guzzo, Francesco Lupia, Luigi Pontieri:
Process Discovery under Precedence Constraints. ACM Trans. Knowl. Discov. Data 9(4): 32:1-32:39 (2015) - [c55]Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Mining Multi-variant Process Models from Low-Level Logs. BIS 2015: 165-177 - [c54]Francesco Folino, Massimo Guarascio, Luigi Pontieri:
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators. EDOC 2015: 128-133 - [c53]Francesco Folino, Massimo Guarascio, Luigi Pontieri:
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes. ICEIS (1) 2015: 206-217 - [c52]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri, Chiara Pulice:
A Framework Supporting the Analysis of Process Logs Stored in Either Relational or NoSQL DBMSs. ISMIS 2015: 52-58 - [c51]Alfredo Cuzzocrea, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
A Multi-view Learning Approach to the Discovery of Deviant Process Instances. OTM Conferences 2015: 146-165 - [c50]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri:
A Probabilistic Unified Framework for Event Abstraction and Process Detection from Log Data. OTM Conferences 2015: 320-328 - [c49]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri:
Classifying Traces of Event Logs on the Basis of Security Risks. NFMCP 2015: 108-124 - [c48]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri:
A compression-based framework for the efficient analysis of business process logs. SSDBM 2015: 6:1-6:12 - 2014
- [c47]Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Mining Predictive Process Models out of Low-level Multidimensional Logs. CAiSE 2014: 533-547 - [c46]Francesco Folino, Massimo Guarascio, Luigi Pontieri:
A Framework for the Discovery of Predictive Fix-time Models. ICEIS (1) 2014: 99-108 - [c45]Francesco Folino, Massimo Guarascio, Luigi Pontieri:
An Approach to the Discovery of Accurate and Expressive Fix-Time Prediction Models. ICEIS (Revised Selected Papers) 2014: 108-128 - 2013
- [j13]Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Methods and techniques for discovering taxonomies of behavioral process models. WIREs Data Mining Knowl. Discov. 3(3): 170-189 (2013) - [c44]Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
A Data-adaptive Trace Abstraction Approach to the Prediction of Business Process Performances. ICEIS (1) 2013: 56-65 - [c43]Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances. ICEIS 2013: 100-117 - [c42]Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Discovering High-Level Performance Models for Ticket Resolution Processes. OTM Conferences 2013: 275-282 - [c41]Gianluigi Greco, Antonella Guzzo, Francesco Lupia, Luigi Pontieri:
Reasoning about Precedence Constraints for Process Mining Applications. SEBD 2013: 429-436 - [c40]Antonio Bevacqua, Marco Carnuccio, Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Adaptive Trace Abstraction Approach for Predicting Business Process Performances. SEBD 2013: 437-444 - 2012
- [c39]Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Process Discovery via Precedence Constraints. ECAI 2012: 366-371 - [c38]Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Discovering Context-Aware Models for Predicting Business Process Performances. OTM Conferences (1) 2012: 287-304 - [c37]Francesco Folino, Massimo Guarascio, Luigi Pontieri:
Context-Aware Predictions on Business Processes: An Ensemble-Based Solution. NFMCP 2012: 215-229 - 2011
- [j12]Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction. Data Knowl. Eng. 70(12): 1005-1029 (2011) - [c36]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:
Process Mining Manifesto. Business Process Management Workshops (1) 2011: 169-194 - 2010
- [j11]Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Coclustering Multiple Heterogeneous Domains: Linear Combinations and Agreements. IEEE Trans. Knowl. Data Eng. 22(12): 1649-1663 (2010) - [c35]Alfredo Cuzzocrea, Francesco Folino, Luigi Pontieri:
Effective Analysis of Flexible Collaboration Processes by Way of Abstraction and Mining Techniques. ICEIS (2) 2010: 157-166 - [c34]Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Scalable parallel co-clustering over multiple heterogeneous data types. HPCS 2010: 529-535
2000 – 2009
- 2009
- [c33]Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Discovering expressive process models from noised log data. IDEAS 2009: 162-172 - 2008
- [j10]Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Mining taxonomies of process models. Data Knowl. Eng. 67(1): 74-102 (2008) - [j9]Francesco Buccafurri, Gianluca Lax, Domenico Saccà, Luigi Pontieri, Domenico Rosaci:
Enhancing histograms by tree-like bucket indices. VLDB J. 17(5): 1041-1061 (2008) - [c32]Stefano Basta, Francesco Folino, Andrea Gualtieri, Marco Antonio Mastratisi, Luigi Pontieri:
A Knowledge-Based Framework for Supporting and Analysing Loosely Structured Collaborative Processes. ADBIS (local proceedings) 2008: 140-153 - [c31]Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Discovering Multi-Perspective Process Models. ICEIS (2) 2008: 70-77 - [c30]Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes. ICEIS 2008: 130-143 - [c29]Lucantonio Ghionna, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Outlier Detection Techniques for Process Mining Applications. ISMIS 2008: 150-159 - [c28]Lucantonio Ghionna, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Outlier Detection Techniques for Process Mining Applications. SEBD 2008: 263-270 - 2007
- [j8]Sergio Flesca, Giuseppe Manco, Elio Masciari, Luigi Pontieri, Andrea Pugliese:
Exploiting structural similarity for effective Web information extraction. Data Knowl. Eng. 60(1): 222-234 (2007) - [j7]Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
An Information-Theoretic Framework for Process Structure and Data Mining. Int. J. Data Warehous. Min. 3(4): 99-119 (2007) - [c27]Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
An Information-Theoretic Framework for High-Order Co-Clustering of Heterogeneous Objects. SEBD 2007: 397-404 - 2006
- [j6]Gianluigi Greco, Antonella Guzzo, Luigi Pontieri, Domenico Saccà:
Discovering Expressive Process Models by Clustering Log Traces. IEEE Trans. Knowl. Data Eng. 18(8): 1010-1027 (2006) - [c26]Antonio D. Chiaravalloti, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
An Information-Theoretic Framework for Process Structure and Data Mining. DaWaK 2006: 248-259 - [c25]Antonio D. Chiaravalloti, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects. ECML 2006: 598-605 - [c24]Francesco Folino, Giuseppe Manco, Luigi Pontieri:
Effective Incremental Clustering for Duplicate Detection in Large Databases. IDEAS 2006: 45-52 - [c23]Francesco Folino, Giuseppe Manco, Luigi Pontieri:
Effective Incremental Clustering for Duplicate Detection in Large Databases. SEBD 2006: 93-104 - 2005
- [j5]Sergio Flesca, Giuseppe Manco, Elio Masciari, Luigi Pontieri, Andrea Pugliese:
Fast Detection of XML Structural Similarity. IEEE Trans. Knowl. Data Eng. 17(2): 160-175 (2005) - [c22]Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
Mining Hierarchies of Models: From Abstract Views to Concrete Specifications. Business Process Management 2005: 32-47 - [c21]Eugenio Cesario, Francesco Folino, Giuseppe Manco, Luigi Pontieri:
An Incremental Clustering Scheme for Duplicate Detection in Large Databases. IDEAS 2005: 89-95 - [c20]Antonio Congiusta, Domenico Talia, Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Luigi Pontieri, Domenico Saccà:
A Data Mining-based Framework for GridWorkflow Management. QSIC 2005: 349-356 - [i2]Elio Masciari, Sergio Flesca, Giuseppe Manco, Luigi Pontieri, Andrea Pugliese:
Exploiting Structural Similarity For Effective Web Information Extraction. Foundations of Semistructured Data 2005 - [i1]Francesco Buccafurri, Gianluca Lax, Domenico Saccà, Luigi Pontieri, Domenico Rosaci:
Enhancing Histograms by Tree-Like Bucket Indices. CoRR abs/cs/0501020 (2005) - 2004
- [c19]Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Luigi Pontieri, Domenico Saccà:
Mining Constrained Graphs: The Case of Workflow Systems. Constraint-Based Mining and Inductive Databases 2004: 155-171 - [c18]Gianluigi Greco, Antonella Guzzo, Luigi Pontieri, Domenico Saccà:
An Ontology-Driven Process Modeling Framework. DEXA 2004: 13-23 - [c17]Gianluigi Greco, Antonella Guzzo, Luigi Pontieri, Domenico Saccà:
Mining Expressive Process Models by Clustering Workflow Traces. PAKDD 2004: 52-62 - [c16]Gianluigi Greco, Antonella Guzzo, Luigi Pontieri, Domenico Saccà:
On the Mining of Complex Schemas. SEBD 2004: 118-129 - 2003
- [j4]Luigi Pontieri, Domenico Ursino, Ester Zumpano:
An approach for the extensional integration of data sources with heterogeneous representation formats. Data Knowl. Eng. 45(3): 291-331 (2003) - [c15]M. Ettorre, Luigi Pontieri, Massimo Ruffolo, Pasquale Rullo, Domenico Saccà:
A Prototypal Environment for Collaborative Work within a Research Organization. DEXA Workshops 2003: 274-279 - 2002
- [j3]Luigi Palopoli, Luigi Pontieri, Giorgio Terracina, Domenico Ursino:
A novel three-level architecture for large data warehouses. J. Syst. Archit. 47(11): 937-958 (2002) - [c14]Luigi Pontieri, Domenico Ursino, Ester Zumpano:
An Approach for Synergically Carrying out Intensional and Extensional Integration of Data Sources Having Different Formats. CAiSE 2002: 752-756 - [c13]Paolo Naggar, Luigi Pontieri, Mariella Pupo, Giorgio Terracina, Emanuela Virardi:
A Model and a Toolkit for Supporting Incremental Data Warehouse Construction. DEXA 2002: 123-132 - [c12]Francesco Buccafurri, Domenico Rosaci, Luigi Pontieri, Domenico Saccà:
Improving Range Query Estimation on Histograms. ICDE 2002: 628-638 - [c11]Paolo Naggar, Luigi Pontieri, Mariella Pupo, Giorgio Terracina, Emanuela Virardi:
A Model and a Framework for Defining Networks of Multidimensional Data Marts. SEBD 2002: 119-126 - [c10]Sergio Flesca, Giuseppe Manco, Elio Masciari, Luigi Pontieri, Andrea Pugliese:
Fast Detection of XML Structural Similarity. SEBD 2002: 193-207 - [c9]Sergio Flesca, Giuseppe Manco, Elio Masciari, Luigi Pontieri, Andrea Pugliese:
Detecting Structural Similarities between XML Documents. WebDB 2002: 55-60 - 2001
- [j2]Sergio Greco, Elio Masciari, Luigi Pontieri:
Combining inductive and deductive tools for data analysis. AI Commun. 14(2): 69-82 (2001) - [c8]Sergio Greco, Luigi Pontieri, Ester Zumpano:
Integrating and Managing Conflicting Data. Ershov Memorial Conference 2001: 349-362 - [c7]Sergio Greco, Luigi Pontieri, Ester Zumpano:
A Technique for Information System Integration. ISTA 2001: 75-84 - [c6]Sergio Greco, Luigi Pontieri, Ester Zumpano:
Integrating Possibly Conflicting Data. SEBD 2001: 241-248 - 2000
- [j1]Luigi Palopoli, Luigi Pontieri, Giorgio Terracina, Domenico Ursino:
Intensional and extensional integration and abstraction of heterogeneous databases. Data Knowl. Eng. 35(3): 201-237 (2000) - [c5]Giuseppe Dattilo, Sergio Greco, Elio Masciari, Luigi Pontieri:
A Hybrid Technique for Data Mining on Balance-Sheet Data. DaWaK 2000: 419-424 - [c4]Sergio Greco, Elio Masciari, Luigi Pontieri:
Combining Different Data Mining Techniques to Improve Data Analysis. FQAS 2000: 455-464 - [c3]Giuseppe Dattilo, Elio Masciari, Luigi Pontieri:
Un sistema per la classificazione dei bilanci aziendali. SEBD 2000: 257-270
1990 – 1999
- 1999
- [c2]Luigi Palopoli, Luigi Pontieri, Domenico Ursino:
Automatic and Semantic Techniques for Scheme Integration and Scheme Abstraction. DEXA 1999: 511-520 - [c1]Luigi Palopoli, Luigi Pontieri, Domenico Saccà, Domenico Ursino:
Progettazione Semi-Automatica di Data Warehouse di Grandi Dimensioni . SEBD 1999: 3-17
Coauthor Index
[j31] [j30] [j29] [c86] [c85] [i5] [i4] [c82] [j28] [c79] [j24] [j23] [j22] [j21] [c76] [c75] [c74] [j19] [c73] [c71] [r1] [j18] [c68] [c67] [c66] [c64] [c63] [c62] [c61] [c60] [j15] [c59] [c57] [c55] [c54] [c53] [c51] [c47] [c46] [c45] [j13] [c44] [c43] [c42] [c40] [c38] [c37] [j12] [c35] [c34] [c33] [c32] [c31] [c30] [c24] [c23] [c21]
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to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-02 18:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
