Giuseppe Manco

Gigliola Vaglini

Pattern Recognit. Lett., 2020

Exploiting Temporal Convolution for Activity Prediction in Process Analytics.

[BibT_eX]

[DOI]

Proceedings of the ECML PKDD 2020 Workshops, 2020

A Deep Learning Approach for Detecting Security Attacks on Blockchain.

[BibT_eX]

[DOI]

Francesco Scicchitano

Proceedings of the Fourth Italian Conference on Cyber Security, 2020

Deep Autoencoder Ensembles for Anomaly Detection on Blockchain.

[BibT_eX]

[DOI]

Francesco Scicchitano

Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

2019

Network Models.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Knowledge Discovery in Databases.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Network Topology.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Sequential Variational Autoencoders for Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Deep Sequential Modeling for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

2018

Temporal Recurrent Activation Networks.

[BibT_eX]

[DOI]

Giuseppe Pirrò

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

Predicting Temporal Activation Patterns via Recurrent Neural Networks.

[BibT_eX]

[DOI]

Giuseppe Pirrò

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 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

Efficient Methods for Influence-Based Network-Oblivious Community Detection.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2017

Fault detection and explanation through big data analysis on sensor streams.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2017

Outlying property detection with numerical attributes.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2017

Differential Privacy and Neural Networks: A Preliminary Analysis.

[BibT_eX]

[DOI]

Giuseppe Pirrò

Proceedings of the Personal Analytics and Privacy. An Individual and Collective Perspective, 2017

Survival Factorization on Diffusion Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016

How Can SMEs Benefit from Big Data? Challenges and a Path Forward.

[BibT_eX]

[DOI]

Xavier Tort-Martorell

Marco Seabra dos Reis

Qual. Reliab. Eng. Int., 2016

Recent advances in mining patterns from complex data.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2016

Rialto: A Knowledge Discovery suite for data analysis.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2016

2014

Probabilistic Approaches to Recommendations

[BibT_eX]

[DOI]

Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01906-7, 2014

Dealing with trajectory streams by clustering and mathematical transforms.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2014

Mining complex patterns.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2014

A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Who to follow and why: link prediction with explanations.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Probabilistic topic models for sequence data.

[BibT_eX]

[DOI]

Mach. Learn., 2013

Topic-aware social influence propagation models.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2013

Hierarchical clustering of XML documents focused on structural components.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2013

Cascade-based community detection.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Towards Topic-aware Social Influence Propagation Models.

[BibT_eX]

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

Influence-Based Network-Oblivious Community Detection.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Hierarchical Latent Factors for Preference Data.

[BibT_eX]

[DOI]

Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data.

[BibT_eX]

[DOI]

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Effectively Grouping Trajectory Streams.

[BibT_eX]

[DOI]

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

Effective Detection of XML Outliers.

[BibT_eX]

[DOI]

Alfredo Cuzzocrea

Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

XML class outlier detection.

[BibT_eX]

[DOI]

Proceedings of the 16th International Database Engineering & Applications Symposium, 2012

Probabilistic Sequence Modeling for Recommender Systems.

[BibT_eX]

Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

2011

Data De-duplication: A Review.

[BibT_eX]

[DOI]

Proceedings of the Learning Structure and Schemas from Documents, 2011

From global to local and viceversa: uses of associative rule learning for classification in imprecise environments.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2011

A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract).

[BibT_eX]

Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data.

[BibT_eX]

[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Modeling item selection and relevance for accurate recommendations: a bayesian approach.

[BibT_eX]

[DOI]

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

A Block Coclustering Model for Pattern Discovering in Users' Preference Data.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2011

Characterizing Relationships through Co-clustering - A Probabilistic Approach.

[BibT_eX]

Proceedings of the KDIR 2011, 2011

2010

An incremental clustering scheme for data de-duplication.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2010

Fast and Effective Hierarchical Clustering of XML Documents by Structure.

[BibT_eX]

Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Mining models of exceptional objects through rule learning.

[BibT_eX]

[DOI]

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

A Block Mixture Model for Pattern Discovery in Preference Data.

[BibT_eX]

[DOI]

Proceedings of the ICDMW 2010, 2010

2009

SNIPER: A Data Mining Methodology for Fiscal Fraud Detection.

[BibT_eX]

[DOI]

ERCIM News, 2009

A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains.

[BibT_eX]

Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Clustering Relational Data: A Transactional Approach.

[BibT_eX]

[DOI]

Proceedings of the ICTAI 2009, 2009

High Quality True-Positive Prediction for Fiscal Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the ICDM Workshops 2009, 2009

Rule Learning with Probabilistic Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

2008

Querying and Reasoning for Spatiotemporal Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008

Boosting text segmentation via progressive classification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2008

Mining categories for emails via clustering and pattern discovery.

[BibT_eX]

[DOI]

Andrea Tagarelli

J. Intell. Inf. Syst., 2008

DAEDALUS: A knowledge discovery analysis framework for movement data.

[BibT_eX]

Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

A hierarchical model-based approach to co-clustering high-dimensional data.

[BibT_eX]

[DOI]

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

The DAEDALUS framework: progressive querying and mining of movement data.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

2007

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

[BibT_eX]

[DOI]

Eugenio Cesario

IEEE Trans. Knowl. Data Eng., 2007

Mining unconnected patterns in workflows.

[BibT_eX]

[DOI]

Inf. Syst., 2007

Exploiting structural similarity for effective Web information extraction.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2007

A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data.

[BibT_eX]

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

Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

2006

Effective Incremental Clustering for Duplicate Detection in Large Databases.

[BibT_eX]

[DOI]

Francesco Folino

Luigi Pontieri

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

2005

Mining and Reasoning on Workflows.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2005

Fast Detection of XML Structural Similarity.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2005

Mining Correlations in Workflows Executions.

[BibT_eX]

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

RecBoost: A Supervised Approach to Text Segmentation.

[BibT_eX]

Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 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

2004

Eureka!: an interactive and visual knowledge discovery tool.

[BibT_eX]

[DOI]

Clara Pizzuti

Domenico Talia

J. Vis. Lang. Comput., 2004

Specifying Mining Algorithms with Iterative User-Defined Aggregates.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2004

Web wrapper induction: a brief survey.

[BibT_eX]

[DOI]

AI Commun., 2004

Clustering of XML Documents by Structure based on Tree Matching and Merging.

[BibT_eX]

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

A Tree-Based Approach to Clustering XML Documents by Structure.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Mining Constrained Graphs: The Case of Workflow Systems.

[BibT_eX]

[DOI]

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

Towards a Logic Query Language for Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

2003

Similarity-Based Clustering of Web Transactions.

[BibT_eX]

[DOI]

Domenico Saccà

Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

Mining Frequent Instances on Workflows.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Logical Languages for Data Mining.

[BibT_eX]

Jef Wijsen

Proceedings of the Logics for Emerging Applications of Databases [outcome of a Dagstuhl seminar], 2003

2002

Detecting Structural Similarities between XML Documents.

[BibT_eX]

[DOI]

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

Clustering Transactional Data.

[BibT_eX]

[DOI]

Cristian Gozzi

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

LDL-M<sub>ine</sub>: Integrating Data Mining with Intelligent Query Answering.

[BibT_eX]

[DOI]

Proceedings of the Logics in Artificial Intelligence, European Conference, 2002

Characterizing Web User Accesses: A Transactional Approach to Web Log Clustering.

[BibT_eX]

[DOI]

Cristian Gozzi

Proceedings of the 2002 International Symposium on Information Technology (ITCC 2002), 2002

A Framework for Adaptive Mail Classification.

[BibT_eX]

[DOI]

Andrea Tagarelli

Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

Eureka! : A Tool for Interactive Knowledge Discovery.

[BibT_eX]

[DOI]

Clara Pizzuti

Domenico Talia

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

2001

Nondeterministic, Nonmonotonic Logic Databases.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2001

Web log data warehousing and mining for intelligent web caching.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2001

Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Data Mining for Intelligent Web Caching.

[BibT_eX]

[DOI]

Proceedings of the 2001 International Symposium on Information Technology (ITCC 2001), 2001

2000

Making Knowledge Extraction and Reasoning Closer.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery and Data Mining, 2000

Declarative Knowledge Extraction with Interactive User-Defined Aggregates.

[BibT_eX]

[DOI]

Proceedings of the Flexible Query Answering Systems, 2000

1999

Integration of Deduction and Induction for Mining Supermarket Sales Data.

[BibT_eX]

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

Querying Inductive Databases via Logic-Based User-Defined Aggregates.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Experiences with a Logic-based knowledge discovery Support Environment.

[BibT_eX]

[DOI]

Proceedings of the 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999

1998

Query Answering in Nondeterministic, Nonmonotonic Logic Databases.

[BibT_eX]

[DOI]

Proceedings of the Flexible Query Answering Systems, Third International Conference, 1998

On the Effective Semantics of Nondeterministic, Nonmonotonic, Temporal Logic Databases.

[BibT_eX]

[DOI]

Proceedings of the Computer Science Logic, 12th International Workshop, 1998

1997

Datalog++: a Basis for Active Object.Oriented Databases.

[BibT_eX]

Proceedings of the Convegno Nazionale Sistemi Evolluti per Basi di Dati, 1997

Datalog++: A Basis for Active Object-Oriented Databases.

[BibT_eX]

[DOI]

Proceedings of the Deductive and Object-Oriented Databases, 5th International Conference, 1997

A Deductive Data Model for Representing and Querying Semistructured Data.

[BibT_eX]

Dino Pedreschi

Proceedings of the 1997 Joint Conf. on Declarative Programming, 1997

1996

Modeling Object Dynamics in Object-Oriented Logic Programming.

[BibT_eX]

Alessandra Raffaetà

Proceedings of the 1996 Joint Conf. on Declarative Programming, 1996

1995

A Structural (Meta-Logical) Semantics for Linear Objects.

[BibT_eX]