Luigi Pontieri

Inf. Syst., 2022

Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation.

[BibT_eX]

[DOI]

Inf. Syst., 2022

Combining deep ensemble learning and explanation for intelligent ticket management.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs.

[BibT_eX]

[DOI]

Bus. Inf. Syst. Eng., 2022

Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Declarative Mining of Business Processes via ASP.

[BibT_eX]

[DOI]

Antonio Ielo

Francesco Ricca

Proceedings of the Workshop on Process Management in the AI Era (PMAI 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Explainable Interpretation of Low-Level Process Traces via Abstract Argumentation.

[BibT_eX]

[DOI]

2021

Correction to: AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion.

[BibT_eX]

[DOI]

J. Data Semant., 2021

AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion.

[BibT_eX]

[DOI]

J. Data Semant., 2021

On learning effective ensembles of deep neural networks for intrusion detection.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

Discovering accurate deep learning based predictive models for automatic customer support ticket classification.

[BibT_eX]

[DOI]

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Argumentation Meets Process Mining: an Architecture for Log Interpretation.

[BibT_eX]

[DOI]

Proceedings of the 5th Workshop on Advances in Argumentation in Artificial Intelligence 2021 co-located with the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), 2021

2020

A GP-based ensemble classification framework for time-changing streams of intrusion detection data.

[BibT_eX]

[DOI]

Soft Comput., 2020

An ensemble-based approach to the security-oriented classification of low-level log traces.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

Exploiting Temporal Convolution for Activity Prediction in Process Analytics.

[BibT_eX]

[DOI]

Proceedings of the ECML PKDD 2020 Workshops, 2020

A Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances.

[BibT_eX]

[DOI]

Proceedings of the ECML PKDD 2020 Workshops, 2020

A p2p environment to validate ensemble-based approaches in the cybersecurity domain.

[BibT_eX]

[DOI]

Proceedings of the 28th Euromicro International Conference on Parallel, 2020

2019

Business Process Deviance Mining.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events.

[BibT_eX]

[DOI]

Inf. Syst., 2019

A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the Numerical Computations: Theory and Algorithms, 2019

Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks.

[BibT_eX]

[DOI]

Pietro Sabatino

Maryam Amir Haeri

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs.

[BibT_eX]

[DOI]

Proceedings of the Business Process Management Workshops, 2019

2018

Online and offline classification of traces of event logs on the basis of security risks.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2018

Efficiently interpreting traces of low level events in business process logs.

[BibT_eX]

[DOI]

Inf. Syst., 2018

Deviance-Aware Discovery of High-Quality Process Models.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2018

On the Interpretation of Traces of Low Level Events in Business Process Logs.

[BibT_eX]

[DOI]

Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Combining Model- and Example-Driven Classification to Detect Security Breaches in Activity-Unaware Logs.

[BibT_eX]

[DOI]

Proceedings of the On the Move to Meaningful Internet Systems. OTM 2018 Conferences, 2018

An Ensemble-Based P2P Framework for the Detection of Deviant Business Process Instances.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Database Engineering & Applications Symposium, 2018

Process Discovery from Low-Level Event Logs.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Systems Engineering, 2018

20+ Years of Analytics on Complex Data: Impact, Issues, Challenges and Contributions.

[BibT_eX]

[DOI]

Proceedings of the A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years., 2018

2017

A descriptive clustering approach to the analysis of quantitative business-process deviances.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2017

A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

Experimenting and Assessing a Probabilistic Business Process Deviance Mining Framework Based on Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the Enterprise Information Systems - 19th International Conference, 2017

Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-learning Framework for Detecting Deviances in Business Process Instances.

[BibT_eX]

[DOI]

Proceedings of the ICEIS 2017, 2017

2016

A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances.

[BibT_eX]

[DOI]

Int. J. Cooperative Inf. Syst., 2016

Efficient Analysis of Process Logs.

[BibT_eX]

Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

A multi-view multi-dimensional ensemble learning approach to mining business process deviances.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

How, Who and When: Enhancing Business Process Warehouses By Graph Based Queries.

[BibT_eX]

[DOI]

Proceedings of the 20th International Database Engineering & Applications Symposium, 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

Process Discovery under Precedence Constraints.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2015

A compression-based framework for the efficient analysis of business process logs.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Classifying Traces of Event Logs on the Basis of Security Risks.

[BibT_eX]

[DOI]

Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

A Probabilistic Unified Framework for Event Abstraction and Process Detection from Log Data.

[BibT_eX]

[DOI]

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2015 Conferences, 2015

A Multi-view Learning Approach to the Discovery of Deviant Process Instances.

[BibT_eX]

[DOI]

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2015 Conferences, 2015

A Framework Supporting the Analysis of Process Logs Stored in Either Relational or NoSQL DBMSs.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes.

[BibT_eX]

[DOI]

Proceedings of the ICEIS 2015, 2015

A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Enterprise Distributed Object Computing Conference, 2015

Mining Multi-variant Process Models from Low-Level Logs.

[BibT_eX]

[DOI]

Proceedings of the Business Information Systems - 18th International Conference, 2015

2014

An Approach to the Discovery of Accurate and Expressive Fix-Time Prediction Models.

[BibT_eX]

[DOI]

Proceedings of the Enterprise Information Systems - 16th International Conference, 2014

A Framework for the Discovery of Predictive Fix-time Models.

[BibT_eX]

[DOI]

Proceedings of the ICEIS 2014, 2014

Mining Predictive Process Models out of Low-level Multidimensional Logs.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Systems Engineering, 2014

2013

Methods and techniques for discovering taxonomies of behavioral process models.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2013

Reasoning about Precedence Constraints for Process Mining Applications.

[BibT_eX]

Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Adaptive Trace Abstraction Approach for Predicting Business Process Performances.

[BibT_eX]

Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Discovering High-Level Performance Models for Ticket Resolution Processes.

[BibT_eX]

[DOI]

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013

A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances.

[BibT_eX]

[DOI]

Proceedings of the Enterprise Information Systems - 15th International Conference, 2013

A Data-adaptive Trace Abstraction Approach to the Prediction of Business Process Performances.

[BibT_eX]

[DOI]

Proceedings of the ICEIS 2013, 2013

2012

Context-Aware Predictions on Business Processes: An Ensemble-Based Solution.

[BibT_eX]

[DOI]

Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

Discovering Context-Aware Models for Predicting Business Process Performances.

[BibT_eX]

[DOI]

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2012, 2012

Process Discovery via Precedence Constraints.

[BibT_eX]

[DOI]

Ana Karla Alves de Medeiros

Proceedings of the ECAI 2012, 2012

2011

Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2011

Process Mining Manifesto.

[BibT_eX]

[DOI]

Wil M. P. van der Aalst

Arya Adriansyah

Franco Arcieri

Thomas Baier

Tobias Blickle

R. P. Jagadeesh Chandra Bose

Massimiliano de Leoni

Pavlos Delias

Boudewijn F. van Dongen

Arthur H. M. ter Hofstede

Hamid R. Motahari Nezhad

Proceedings of the Business Process Management Workshops, 2011

2010

Coclustering Multiple Heterogeneous Domains: Linear Combinations and Agreements.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2010

Scalable parallel co-clustering over multiple heterogeneous data types.

[BibT_eX]

[DOI]

Proceedings of the 2010 International Conference on High Performance Computing & Simulation, 2010

Effective Analysis of Flexible Collaboration Processes by Way of Abstraction and Mining Techniques.

[BibT_eX]

Alfredo Cuzzocrea

Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8, 2010

2009

Discovering expressive process models from noised log data.

[BibT_eX]

[DOI]

Proceedings of the International Database Engineering and Applications Symposium (IDEAS 2009), 2009

2008

Enhancing histograms by tree-like bucket indices.

[BibT_eX]

[DOI]

VLDB J., 2008

Mining taxonomies of process models.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2008

Outlier Detection Techniques for Process Mining Applications.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes.

[BibT_eX]

[DOI]

Proceedings of the Enterprise Information Systems, 10th International Conference, 2008

Discovering Multi-Perspective Process Models.

[BibT_eX]

Proceedings of the ICEIS 2008, 2008

A Knowledge-Based Framework for Supporting and Analysing Loosely Structured Collaborative Processes.

[BibT_eX]

Stefano Basta

Andrea Gualtieri

Marco Antonio Mastratisi

Proceedings of the Advances in Databases and Information Systems, 2008

2007

An Information-Theoretic Framework for Process Structure and Data Mining.

[BibT_eX]

[DOI]

Int. J. Data Warehous. Min., 2007

Exploiting structural similarity for effective Web information extraction.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2007

An Information-Theoretic Framework for High-Order Co-Clustering of Heterogeneous Objects.

[BibT_eX]

Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

2006

Discovering Expressive Process Models by Clustering Log Traces.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2006

Effective Incremental Clustering for Duplicate Detection in Large Databases.

[BibT_eX]

[DOI]

Giuseppe Manco

Proceedings of the Tenth International Database Engineering and Applications Symposium (IDEAS 2006), 2006

An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects.

[BibT_eX]

[DOI]

Antonio D. Chiaravalloti

Proceedings of the Machine Learning: ECML 2006, 2006

An Information-Theoretic Framework for Process Structure and Data Mining.

[BibT_eX]

[DOI]

Antonio D. Chiaravalloti

Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

2005

Fast Detection of XML Structural Similarity.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2005

A Data Mining-based Framework for GridWorkflow Management.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Quality Software (QSIC 2005), 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

Mining Hierarchies of Models: From Abstract Views to Concrete Specifications.

[BibT_eX]

[DOI]

Proceedings of the Business Process Management, 3rd International Conference, 2005

2004

On the Mining of Complex Schemas.

[BibT_eX]

Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004

Mining Expressive Process Models by Clustering Workflow Traces.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

An Ontology-Driven Process Modeling Framework.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

Mining Constrained Graphs: The Case of Workflow Systems.

[BibT_eX]

[DOI]

Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

2003

An approach for the extensional integration of data sources with heterogeneous representation formats.

[BibT_eX]

[DOI]

Domenico Ursino

Data Knowl. Eng., 2003

A Prototypal Environment for Collaborative Work within a Research Organization.

[BibT_eX]

[DOI]

Proceedings of the 14th International Workshop on Database and Expert Systems Applications (DEXA'03), 2003

2002

A novel three-level architecture for large data warehouses.

[BibT_eX]

[DOI]

J. Syst. Archit., 2002

Detecting Structural Similarities between XML Documents.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Workshop on the Web and Databases, 2002

A Model and a Framework for Defining Networks of Multidimensional Data Marts.

[BibT_eX]

Proceedings of the Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2002

Improving Range Query Estimation on Histograms.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

A Model and a Toolkit for Supporting Incremental Data Warehouse Construction.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 13th International Conference, 2002

An Approach for Synergically Carrying out Intensional and Extensional Integration of Data Sources Having Different Formats.

[BibT_eX]

[DOI]

Domenico Ursino

Proceedings of the Advanced Information Systems Engineering, 14th International Conference, 2002

2001

Combining inductive and deductive tools for data analysis.

[BibT_eX]

[DOI]

Elio Masciari

AI Commun., 2001

Integrating Possibly Conflicting Data.

[BibT_eX]

Proceedings of the Nono Convegno Nazionale Sistemi Evoluti per Basi di Dati, 2001

A Technique for Information System Integration.

[BibT_eX]

[DOI]

Proceedings of the Information Systems Technology and its Applications, 2001

Integrating and Managing Conflicting Data.

[BibT_eX]

[DOI]

Proceedings of the Perspectives of System Informatics, 2001

2000

Intensional and extensional integration and abstraction of heterogeneous databases.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2000

Un sistema per la classificazione dei bilanci aziendali.

[BibT_eX]

Giuseppe Dattilo

Elio Masciari

Proceedings of the Ottavo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2000

Combining Different Data Mining Techniques to Improve Data Analysis.

[BibT_eX]

[DOI]

Elio Masciari

Proceedings of the Flexible Query Answering Systems, 2000

A Hybrid Technique for Data Mining on Balance-Sheet Data.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2000

1999

Progettazione Semi-Automatica di Data Warehouse di Grandi Dimensioni .

[BibT_eX]

Proceedings of the Atti del Settimo Convegno Nazionale Sistemi Evoluti per Basi di Dati, 1999

Automatic and Semantic Techniques for Scheme Integration and Scheme Abstraction.

[BibT_eX]

[DOI]

Luigi Palopoli