Giuseppe Manco

发表

Probabilistic topic models for sequence data

Nicola Barbieri, Ettore Ritacco, Antonio Bevacqua, 2013, Machine Learning.

Query Answering in Nondeterministic, Nonmonotonic Logic Databases

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 1998, FQAS.

Probabilistic Approaches to Recommendations

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2014, Probabilistic Approaches to Recommendations.

Exploiting structural similarity for effective Web information extraction

Elio Masciari, Sergio Flesca, Luigi Pontieri, 2007, Data Knowl. Eng..

Mining Unconnected Patterns in Workflows

Domenico Saccà, Gianluigi Greco, Antonella Guzzo, 2005, SDM.

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

Franco Turini, Fosca Giannotti, Giuseppe Manco, 2001, PKDD.

A Structural (Meta-Logical) Semantics for Linear Objects

Franco Turini, Giuseppe Manco, F. Turini, 1995, GULP-PRODE.

Hierarchical Latent Factors for Preference Data

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2012, SEBD.

Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario

Francesco Folino, Gianni Costa, Riccardo Ortale, 2007, 2007 IEEE 23rd International Conference on Data Engineering Workshop.

Effective Detection of XML Outliers

Elio Masciari, Alfredo Cuzzocrea, Giuseppe Manco, 2012, KES.

Topic-aware social influence propagation models

Nicola Barbieri, Francesco Bonchi, Giuseppe Manco, 2012, Knowledge and Information Systems.

Mining Correlations in Workflows Executions

Domenico Saccà, Gianluigi Greco, Antonella Guzzo, 2005, SEBD.

High Quality True-Positive Prediction for Fiscal Fraud Detection

Dino Pedreschi, Fosca Giannotti, Stefano Basta, 2009, 2009 IEEE International Conference on Data Mining Workshops.

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

Nicola Barbieri, Gianni Costa, Ettore Ritacco, 2011, IC3K.

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

Gianni Costa, Riccardo Ortale, Giuseppe Manco, 2014, ECML/PKDD.

A data mining-based framework for grid workflow management

Domenico Talia, Luigi Pontieri, Domenico Saccà, 2005, Fifth International Conference on Quality Software (QSIC'05).

Influence-Based Network-Oblivious Community Detection

Nicola Barbieri, Francesco Bonchi, Giuseppe Manco, 2013, 2013 IEEE 13th International Conference on Data Mining.

Deep Autoencoder Ensembles for Anomaly Detection on Blockchain

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2020, ISMIS.

Probabilistic Sequence Modeling for Recommender Systems

Nicola Barbieri, Ettore Ritacco, Antonio Bevacqua, 2012, KDIR.

Logical Languages for Data Mining

Jef Wijsen, Fosca Giannotti, Giuseppe Manco, 2003, Logics for Emerging Applications of Databases.

A framework for adaptive mail classification

Elio Masciari, Andrea Tagarelli, Giuseppe Manco, 2002, 14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings..

Fast detection of XML structural similarity

Elio Masciari, Sergio Flesca, Luigi Pontieri, 2005, IEEE Transactions on Knowledge and Data Engineering.

A Deductive Data Model for Representing and Querying Semistructured Data

Dino Pedreschi, Fosca Giannotti, Giuseppe Manco, 1997, APPIA-GULP-PRODE.

Mining unconnected patterns in workflows

Domenico Saccà, Gianluigi Greco, Antonella Guzzo, 2007, Inf. Syst..

Clustering Transactional Data

Fosca Giannotti, Giuseppe Manco, Cristian Gozzi, 2002, PKDD.

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

Nicola Barbieri, Gianni Costa, Riccardo Ortale, 2011, RecSys '11.

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

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 1998, CSL.

Fast and Effective Hierarchical Clustering of XML Documents by Structure

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2010, SEBD.

Efficient Methods for Influence-Based Network-Oblivious Community Detection

Nicola Barbieri, Francesco Bonchi, Giuseppe Manco, 2016, ACM Trans. Intell. Syst. Technol..

RecBoost: A Supervised Approach to Text Segmentation

Eugenio Cesario, Francesco Folino, Riccardo Ortale, 2005, SEBD.

Mining Frequent Instances on Workflows

Domenico Saccà, Gianluigi Greco, Antonella Guzzo, 2003, PAKDD.

Nondeterministic, Nonmonotonic Logic Databases

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 2001, IEEE Trans. Knowl. Data Eng..

A Logic Abstract Machine for Active Object-Oriented Databases

Dino Pedreschi, Fosca Giannotti, Giuseppe Manco, 1996 .

Recent advances in mining patterns from complex data

Michelangelo Ceci, Corrado Loglisci, Elio Masciari, 2016, Journal of Intelligent Information Systems.

Deep Sequential Modeling for Recommendation

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2019, SEBD.

Towards Topic-aware Social Influence Propagation Models

Nicola Barbieri, Francesco Bonchi, Giuseppe Manco, 2013, SEBD.

A Factorization Approach for Survival Analysis on Diffusion Networks

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2021, IEEE Transactions on Knowledge and Data Engineering.

LDL-Mine: Integrating Data Mining with Intelligent Query Answering

Fosca Giannotti, Giuseppe Manco, 2002, JELIA.

Lecture Notes in Artificial Intelligence: Preface

Michelangelo Ceci, Corrado Loglisci, Elio Masciari, 2015 .

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

Nicola Barbieri, Giuseppe Manco, G. Manco, 2011, ECML/PKDD.

Highly Sensitive Detection of Chemically Modified Thio-Organophosphates by an Enzymatic Biosensing Device: An Automated Robotic Approach

Ferdinando Febbraio, Giuseppe Manco, Marco Chino, 2020, Sensors.

Data De-duplication: A Review

Gianni Costa, Riccardo Ortale, Alfredo Cuzzocrea, 2011, Learning Structure and Schemas from Documents.

Characterizing Relationships through Co-clustering - A Probabilistic Approach

Nicola Barbieri, Gianni Costa, Ettore Ritacco, 2011, KDIR.

Revised Selected Papers of the 4th International Workshop on New Frontiers in Mining Complex Patterns - Volume 9607

Michelangelo Ceci, Corrado Loglisci, Elio Masciari, 2015 .

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

Gianni Costa, Riccardo Ortale, Giuseppe Manco, 2008, SAC '08.

Fluorescence Spectroscopy Approaches for the Development of a Real-Time Organophosphate Detection System Using an Enzymatic Sensor

Ferdinando Febbraio, Giuseppe Manco, Giovanni Paolo Cetrangolo, 2015, Sensors.

Cascade-based community detection

Nicola Barbieri, Francesco Bonchi, Giuseppe Manco, 2013, WSDM.

Survival Factorization on Diffusion Networks

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2017, ECML/PKDD.

Mining Constrained Graphs: The Case of Workflow Systems

Luigi Pontieri, Domenico Saccà, Gianluigi Greco, 2004, Constraint-Based Mining and Inductive Databases.

Who to follow and why: link prediction with explanations

Nicola Barbieri, Francesco Bonchi, Giuseppe Manco, 2014, KDD.

Effective Incremental Clustering for Duplicate Detection in Large Databases

Francesco Folino, Luigi Pontieri, Giuseppe Manco, 2006, 2006 10th International Database Engineering and Applications Symposium (IDEAS'06).

Web wrapper induction: a brief survey

Elio Masciari, Andrea Tagarelli, Sergio Flesca, 2004, AI Commun..

Detecting Structural Similarities between XML Documents

Elio Masciari, Sergio Flesca, Luigi Pontieri, 2002, WebDB.

Rialto: A Knowledge Discovery suite for data analysis

Giuseppe Manco, Pasquale Rullo, Lorenzo Gallucci, 2016, Expert Syst. Appl..

Querying and Reasoning for Spatiotemporal Data Mining

Miriam Baglioni, Bart Kuijpers, Fosca Giannotti, 2008, Mobility, Data Mining and Privacy.

Towards a Logic Query Language for Data Mining

Franco Turini, Fosca Giannotti, Giuseppe Manco, 2004, Database Support for Data Mining Applications.

A Tree-Based Approach to Clustering XML Documents by Structure

Gianni Costa, Riccardo Ortale, Andrea Tagarelli, 2004, PKDD.

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

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2011, Knowledge and Information Systems.

Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2016)

Paolo Frasconi, Jilles Vreeken, Giuseppe Manco, 2016 .

Mining models of exceptional objects through rule learning

Gianni Costa, Riccardo Ortale, Massimo Guarascio, 2010, SAC '10.

Modeling Object Dynamics in Object-Oriented Logic Programming

Franco Turini, Alessandra Raffaetà, Giuseppe Manco, 1996, APPIA-GULP-PRODE.

Integration of Deduction and Induction for Mining Supermarket Sales Data

Franco Turini, Dino Pedreschi, Fosca Giannotti, 1999, Sistemi Evoluti per Basi di Dati.

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

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 1997, DOOD.

Making Knowledge Extraction and Reasoning Closer

Fosca Giannotti, Giuseppe Manco, F. Giannotti, 2000, PAKDD.

Riccardo Ortale, Domenico Saccà, Giuseppe Manco, 2003, SAC '03.

DAEDALUS: A knowledge discovery analysis framework for movement data

Nikos Pelekis, Yannis Theodoridis, Gianni Costa, 2008, SEBD.

Rule Learning with Probabilistic Smoothing

Gianni Costa, Riccardo Ortale, Massimo Guarascio, 2009, DaWaK.

Mining and reasoning on workflows

Domenico Saccà, Gianluigi Greco, Antonella Guzzo, 2005, IEEE Transactions on Knowledge and Data Engineering.

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

Eugenio Cesario, Riccardo Ortale, Giuseppe Manco, 2007, IEEE Transactions on Knowledge and Data Engineering.

Non-PC Reviewers

Noriaki Izumi, Xiaohua Hu, Vasa Curcin, 2005, ICDM.

Towards An Adaptive Mail Classifier

Elio Masciari, Andrea Tagarelli, Giuseppe Manco, 2002 .

Knowledge Discovery in Databases

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Deep Learning

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Querying Inductive Databases via Logic-Based User-Defined Aggregates

Fosca Giannotti, Giuseppe Manco, F. Giannotti, 1999, PKDD.

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016

Paolo Frasconi, Jilles Vreeken, Giuseppe Manco, 2016 .

New Frontiers in Mining Complex Patterns

Michelangelo Ceci, Corrado Loglisci, Elio Masciari, 2013, Lecture Notes in Computer Science.

Mining complex patterns

Michelangelo Ceci, Corrado Loglisci, Elio Masciari, 2013, Journal of Intelligent Information Systems.

New Frontiers in Mining Complex Patterns: 8th International Workshop, NFMCP 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers

Michelangelo Ceci, Corrado Loglisci, Yuzuru Tanaka, 2020, NFMCP@PKDD/ECML.

Eureka!: an interactive and visual knowledge discovery tool

Domenico Talia, Clara Pizzuti, Giuseppe Manco, 2004, J. Vis. Lang. Comput..

Hierarchical clustering of XML documents focused on structural components

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2013, Data Knowl. Eng..

Outlying property detection with numerical attributes

Luigi Palopoli, Fabrizio Angiulli, Fabio Fassetti, 2013, Data Mining and Knowledge Discovery.

Declarative Knowledge Extraction with Interactive User-Defined Aggregates

Fosca Giannotti, Giuseppe Manco, F. Giannotti, 2000, FQAS.

A Block Mixture Model for Pattern Discovery in Preference Data

Nicola Barbieri, Massimo Guarascio, Giuseppe Manco, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2011, SDM.

Fault detection and explanation through big data analysis on sensor streams

Marco Antonelli, Ettore Ritacco, Giuseppe Manco, 2017, Expert Syst. Appl..

Temporal Recurrent Activation Networks

Ettore Ritacco, Giuseppe Pirrò, Giuseppe Manco, 2018, SEBD.

Modeling Object Dynamics in an Object-Oriented Logic Programming Framework

Franco Turini, Alessandra Raffaetà, Giuseppe Manco, 1995 .

XML class outlier detection

Elio Masciari, Giuseppe Manco, G. Manco, 2012, IDEAS '12.

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

Francesco Folino, Gianni Costa, Riccardo Ortale, 2007, SEBD.

Preface to the International Workshop on Spatial and Spatio-Temporal Data Mining

Dimitrios Gunopulos, Eamonn J. Keogh, Alfredo Cuzzocrea, 2011, IEEE ICDM 2011.

Predicting Temporal Activation Patterns via Recurrent Neural Networks

Ettore Ritacco, Giuseppe Pirrò, Giuseppe Manco, 2018, ISMIS.

Proc. of the AI*IA Workshop on Mining Complex Patterns (MCP 2011)

Michelangelo Ceci, Corrado Loglisci, Annalisa Appice, 2011 .

Network Models

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2019, Encyclopedia of Bioinformatics and Computational Biology.

The Scent of a Newsgroup: Providing Personalized Access to Usenet Sites through Web Mining

Riccardo Ortale, Andrea Tagarelli, Giuseppe Manco, 2009 .

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

Shirley Coleman, Xavier Tort-Martorell, Rainer Göb, 2016, Qual. Reliab. Eng. Int..

Mining categories for emails via clustering and pattern discovery

Elio Masciari, Andrea Tagarelli, Giuseppe Manco, 2008, Journal of Intelligent Information Systems.

New Frontiers in Mining Complex Patterns

Elio Masciari, Annalisa Appice, Giuseppe Manco, 2014, Lecture Notes in Computer Science.

Boosting text segmentation via progressive classification

Eugenio Cesario, Francesco Folino, Riccardo Ortale, 2008, Knowledge and Information Systems.

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

Gianni Costa, Riccardo Ortale, Andrea Tagarelli, 2004, SEBD.

The hydraulic control system for controlling a motor-driven valve to dynamically programmed

Giuseppe Manco, Giorgio Fossati, Harold Terry, 1986 .

An incremental clustering scheme for data de-duplication

Gianni Costa, Riccardo Ortale, Giuseppe Manco, 2009, Data Mining and Knowledge Discovery.

Clustering Relational Data: A Transactional Approach

Gianni Costa, Riccardo Ortale, Alfredo Cuzzocrea, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

Differential Privacy and Neural Networks: A Preliminary Analysis

Giuseppe Pirrò, Giuseppe Manco, 2017, PAP@PKDD/ECML.

New Frontiers in Mining Complex Patterns

Michelangelo Ceci, Corrado Loglisci, Elio Masciari, 2015, Lecture Notes in Computer Science.

On the effective semantics of temporal, non monotonic, non deterministic logic databases

Dino Pedreschi, Fosca Giannotti, Mirco Nanni, 1998 .

Sequential Variational Autoencoders for Collaborative Filtering

Vikram Pudi, Ettore Ritacco, Giuseppe Manco, 2018, WSDM.

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

Nicola Barbieri, Riccardo Ortale, Ettore Ritacco, 2012, SDM.

Effectively Grouping Trajectory Streams

Elio Masciari, Gianni Costa, Giuseppe Manco, 2012, NFMCP.

Using an autoencoder in the design of an anomaly detector for smart manufacturing

Gigliola Vaglini, Mario G. C. A. Cimino, Ettore Ritacco, 2020, Pattern Recognit. Lett..

Eureka! : A Tool for Interactive Knowledge Discovery

Domenico Talia, Clara Pizzuti, Giuseppe Manco, 2002, DEXA.

Specifying mining algorithms with iterative user-defined aggregates

Franco Turini, Fosca Giannotti, Giuseppe Manco, 2004, IEEE Transactions on Knowledge and Data Engineering.

Dealing with trajectory streams by clustering and mathematical transforms

Elio Masciari, Gianni Costa, Giuseppe Manco, 2013, Journal of Intelligent Information Systems.

Topic-Aware Social Influence Propagation Models

Nicola Barbieri, Francesco Bonchi, Giuseppe Manco, 2012, ICDM.

Web log data warehousing and mining for intelligent web caching

Dino Pedreschi, Fosca Giannotti, Chiara Renso, 2001, Data Knowl. Eng..

The DAEDALUS framework: progressive querying and mining of movement data

Nikos Pelekis, Yannis Theodoridis, Gianni Costa, 2008, GIS '08.

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

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2011, SEBD.

Experiences with a Logic-based knowledge discovery Support Environment

Franco Turini, Dino Pedreschi, Fosca Giannotti, 1999, 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.

An incremental clustering scheme for duplicate detection in large databases

Eugenio Cesario, Francesco Folino, Luigi Pontieri, 2005, 9th International Database Engineering & Application Symposium (IDEAS'05).

New Frontiers in Mining Complex Patterns: Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September

Michelangelo Ceci, Corrado Loglisci, Elio Masciari, 2015 .

New Frontiers in Mining Complex Patterns

Corrado Loglisci, Elio Masciari, Giuseppe Manco, 2012, Lecture Notes in Computer Science.

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

Elio Masciari, Luigi Pontieri, Stefano Basta, 2018, A Comprehensive Guide Through the Italian Database Research.

$$\mathcal{L}\mathcal{D}\mathcal{L} - \mathcal{M}_{ine} $$ : Integrating Data Mining with Intelligent Query Answering

Fosca Giannotti, Giuseppe Manco, 2002 .

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

Gianni Costa, Riccardo Ortale, Massimo Guarascio, 2009, SEBD.

Data mining for intelligent Web caching

Dino Pedreschi, Francesco Bonchi, Fosca Giannotti, 2001, Proceedings International Conference on Information Technology: Coding and Computing.

Network Topology

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2019, Encyclopedia of Bioinformatics and Computational Biology.

A Deep Learning Approach for Detecting Security Attacks on Blockchain

Ettore Ritacco, Giuseppe Manco, Massimo Guarascio, 2020, ITASEC.

SNIPER: A Data Mining Methodology for Fiscal Fraud Detection

Dino Pedreschi, Fosca Giannotti, Stefano Basta, 2009, ERCIM News.

Proceedings of the First international conference on New Frontiers in Mining Complex Patterns

Michelangelo Ceci, Corrado Loglisci, Elio Masciari, 2012 .

Learning Ideological Embeddings from Information Cascades

Francesco Bonchi, Corrado Monti, Giuseppe Manco, 2021, CIKM.

Sanitization of Images Containing Stegomalware via Machine Learning Approaches

Luca Caviglione, Massimo Guarascio, Giuseppe Manco, 2021, ITASEC.

A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper)

Ettore Ritacco, Giuseppe Manco, Salvatore Iiritano, 2021, SEBD.

Data Deduplication : A Review

Gianni Costa, Alfredo Cuzzocrea, Giuseppe Manco, .