Giuseppe Manco

According to our database1, Giuseppe Manco authored at least 105 papers between 1995 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
A Factorization Approach for Survival Analysis on Diffusion Networks.
IEEE Trans. Knowl. Data Eng., 2021

2020
Using an autoencoder in the design of an anomaly detector for smart manufacturing.
Pattern Recognit. Lett., 2020

A Deep Learning Approach for Detecting Security Attacks on Blockchain.
Proceedings of the Fourth Italian Conference on Cyber Security, 2020

Deep Autoencoder Ensembles for Anomaly Detection on Blockchain.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

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

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

Knowledge Discovery in Databases.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

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

Sequential Variational Autoencoders for Collaborative Filtering.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Deep Sequential Modeling for Recommendation.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

2018
Temporal Recurrent Activation Networks.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Predicting Temporal Activation Patterns via Recurrent Neural Networks.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

20+ Years of Analytics on Complex Data: Impact, Issues, Challenges and Contributions.
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.
ACM Trans. Intell. Syst. Technol., 2017

Fault detection and explanation through big data analysis on sensor streams.
Expert Syst. Appl., 2017

Outlying property detection with numerical attributes.
Data Min. Knowl. Discov., 2017

Differential Privacy and Neural Networks: A Preliminary Analysis.
Proceedings of the Personal Analytics and Privacy. An Individual and Collective Perspective, 2017

Survival Factorization on Diffusion Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
How Can SMEs Benefit from Big Data? Challenges and a Path Forward.
Qual. Reliab. Eng. Int., 2016

Recent advances in mining patterns from complex data.
J. Intell. Inf. Syst., 2016

Rialto: A Knowledge Discovery suite for data analysis.
Expert Syst. Appl., 2016

2014
Probabilistic Approaches to Recommendations
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2014

Dealing with trajectory streams by clustering and mathematical transforms.
J. Intell. Inf. Syst., 2014

Mining complex patterns.
J. Intell. Inf. Syst., 2014

A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Who to follow and why: link prediction with explanations.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Probabilistic topic models for sequence data.
Mach. Learn., 2013

Topic-aware social influence propagation models.
Knowl. Inf. Syst., 2013

Hierarchical clustering of XML documents focused on structural components.
Data Knowl. Eng., 2013

Cascade-based community detection.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Towards Topic-aware Social Influence Propagation Models.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Influence-Based Network-Oblivious Community Detection.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Hierarchical Latent Factors for Preference Data.
Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Effectively Grouping Trajectory Streams.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

Effective Detection of XML Outliers.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

XML class outlier detection.
Proceedings of the 16th International Database Engineering & Applications Symposium, 2012

Probabilistic Sequence Modeling for Recommender Systems.
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.
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.
Knowl. Inf. Syst., 2011

A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract).
Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Modeling item selection and relevance for accurate recommendations: a bayesian approach.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

A Block Coclustering Model for Pattern Discovering in Users' Preference Data.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2011

Characterizing Relationships through Co-clustering - A Probabilistic Approach.
Proceedings of the KDIR 2011, 2011

2010
An incremental clustering scheme for data de-duplication.
Data Min. Knowl. Discov., 2010

Fast and Effective Hierarchical Clustering of XML Documents by Structure.
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Mining models of exceptional objects through rule learning.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

A Block Mixture Model for Pattern Discovery in Preference Data.
Proceedings of the ICDMW 2010, 2010

2009
SNIPER: A Data Mining Methodology for Fiscal Fraud Detection.
ERCIM News, 2009

A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Clustering Relational Data: A Transactional Approach.
Proceedings of the ICTAI 2009, 2009

High Quality True-Positive Prediction for Fiscal Fraud Detection.
Proceedings of the ICDM Workshops 2009, 2009

Rule Learning with Probabilistic Smoothing.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

2008
Querying and Reasoning for Spatiotemporal Data Mining.
Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008

Boosting text segmentation via progressive classification.
Knowl. Inf. Syst., 2008

Mining categories for emails via clustering and pattern discovery.
J. Intell. Inf. Syst., 2008

DAEDALUS: A knowledge discovery analysis framework for movement data.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

A hierarchical model-based approach to co-clustering high-dimensional data.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

The DAEDALUS framework: progressive querying and mining of movement data.
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.
IEEE Trans. Knowl. Data Eng., 2007

Mining unconnected patterns in workflows.
Inf. Syst., 2007

Exploiting structural similarity for effective Web information extraction.
Data Knowl. Eng., 2007

A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario.
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

2006
Effective Incremental Clustering for Duplicate Detection in Large Databases.
Proceedings of the Tenth International Database Engineering and Applications Symposium (IDEAS 2006), 2006

2005
Mining and Reasoning on Workflows.
IEEE Trans. Knowl. Data Eng., 2005

Fast Detection of XML Structural Similarity.
IEEE Trans. Knowl. Data Eng., 2005

Mining Correlations in Workflows Executions.
Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005

RecBoost: A Supervised Approach to Text Segmentation.
Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005

A Data Mining-based Framework for GridWorkflow Management.
Proceedings of the Fifth International Conference on Quality Software (QSIC 2005), 2005

An Incremental Clustering Scheme for Duplicate Detection in Large Databases.
Proceedings of the Ninth International Database Engineering and Applications Symposium (IDEAS 2005), 2005

2004
Eureka!: an interactive and visual knowledge discovery tool.
J. Vis. Lang. Comput., 2004

Specifying Mining Algorithms with Iterative User-Defined Aggregates.
IEEE Trans. Knowl. Data Eng., 2004

Web wrapper induction: a brief survey.
AI Commun., 2004

Clustering of XML Documents by Structure based on Tree Matching and Merging.
Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004

A Tree-Based Approach to Clustering XML Documents by Structure.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Mining Constrained Graphs: The Case of Workflow Systems.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

Towards a Logic Query Language for Data Mining.
Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

2003
Similarity-Based Clustering of Web Transactions.
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

Mining Frequent Instances on Workflows.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Logical Languages for Data Mining.
Proceedings of the Logics for Emerging Applications of Databases [outcome of a Dagstuhl seminar], 2003

2002
Detecting Structural Similarities between XML Documents.
Proceedings of the Fifth International Workshop on the Web and Databases, 2002

Clustering Transactional Data.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

LDL-M<sub>ine</sub>: Integrating Data Mining with Intelligent Query Answering.
Proceedings of the Logics in Artificial Intelligence, European Conference, 2002

Characterizing Web User Accesses: A Transactional Approach to Web Log Clustering.
Proceedings of the 2002 International Symposium on Information Technology (ITCC 2002), 2002

A Framework for Adaptive Mail Classification.
Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

Eureka! : A Tool for Interactive Knowledge Discovery.
Proceedings of the Database and Expert Systems Applications, 13th International Conference, 2002

2001
Nondeterministic, Nonmonotonic Logic Databases.
IEEE Trans. Knowl. Data Eng., 2001

Web log data warehousing and mining for intelligent web caching.
Data Knowl. Eng., 2001

Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Data Mining for Intelligent Web Caching.
Proceedings of the 2001 International Symposium on Information Technology (ITCC 2001), 2001

2000
Making Knowledge Extraction and Reasoning Closer.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Declarative Knowledge Extraction with Interactive User-Defined Aggregates.
Proceedings of the Flexible Query Answering Systems, 2000

1999
Integration of Deduction and Induction for Mining Supermarket Sales Data.
Proceedings of the Atti del Settimo Convegno Nazionale Sistemi Evoluti per Basi di Dati, 1999

Querying Inductive Databases via Logic-Based User-Defined Aggregates.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Experiences with a Logic-based knowledge discovery Support Environment.
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.
Proceedings of the Flexible Query Answering Systems, Third International Conference, 1998

On the Effective Semantics of Nondeterministic, Nonmonotonic, Temporal Logic Databases.
Proceedings of the Computer Science Logic, 12th International Workshop, 1998

1997
Datalog++: a Basis for Active Object.Oriented Databases.
Proceedings of the Convegno Nazionale Sistemi Evolluti per Basi di Dati, 1997

Datalog++: A Basis for Active Object-Oriented Databases.
Proceedings of the Deductive and Object-Oriented Databases, 5th International Conference, 1997

A Deductive Data Model for Representing and Querying Semistructured Data.
Proceedings of the 1997 Joint Conf. on Declarative Programming, 1997

1996
Modeling Object Dynamics in Object-Oriented Logic Programming.
Proceedings of the 1996 Joint Conf. on Declarative Programming, 1996

1995
A Structural (Meta-Logical) Semantics for Linear Objects.
Proceedings of the 1995 Joint Conference on Declarative Programming, 1995


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