G. Manco

发表

Towards a Logic Query Language for Data Mining

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

Making Knowledge Extraction and Reasoning Closer

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

The DAEDALUS framework: progressive querying and mining of movement data

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

Detecting Structural Similarities between XML Documents

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

A general framework for XML Document Clustering

A. Tagarelli, G. Manco, R. Ortale, 2003 .

A framework for progressive mining and querying of movement data

F. Giannotti, G. Manco, R. Ortale, 2009 .

Structural Document Similarity for Integrated Crawling and Wrapping ?

G. Manco, S. Flesca, E. Masciari, 2003 .

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

Paolo Frasconi, Jilles Vreeken, Giuseppe Manco, 2016 .

Exploiting Temporal Convolution for Activity Prediction in Process Analytics

G. Manco, Francesco Folino, E. Ritacco, 2020, PKDD/ECML Workshops.

Network Models

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

Knowledge Discovery in Databases

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

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

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

Modeling Object Dynamics in an Object-Oriented Logic Programming Framework

Franco Turini, Alessandra Raffaetà, Giuseppe Manco, 1995 .

A Structural (Meta-Logical) Semantics for Linear Objects

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

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.

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

Michelangelo Ceci, Corrado Loglisci, Elio Masciari, 2015 .

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

Paolo Frasconi, Jilles Vreeken, Giuseppe Manco, 2016 .

Network Topology

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

Probabilistic topic models for sequence data

G. Manco, E. Ritacco, Nicola Barbieri, 2013, Machine Learning.

Dealing with trajectory streams by clustering and mathematical transforms

G. Manco, G. Costa, E. Masciari, 2013, Journal of Intelligent Information Systems.

Querying and Reasoning for Spatiotemporal Data Mining

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

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.

High Quality True-Positive Prediction for Fiscal Fraud Detection

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

Efficient Methods for Influence-Based Network-Oblivious Community Detection

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

Influence-Based Network-Oblivious Community Detection

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

Cascade-based community detection

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

Agenesia dental : Revisión bibliográfica y reporte de dos casos clínicos

G. Manco, S. Pérez, B. Marín, 2006 .

Non-lipolytic and lipolytic sequence-related carboxylesterases: a comparative study of the structure-function relationships of rabbit liver esterase 1 and bovine pancreatic bile-salt-activated lipase.

G. Manco, L. Sarda, J. Fantini, 2010, Biochimica et biophysica acta.

Data De-duplication: A Review

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

An incremental clustering scheme for data de-duplication

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

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).

Outlying property detection with numerical attributes

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

XML class outlier detection

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

Hierarchical clustering of XML documents focused on structural components

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

Fast detection of XML structural similarity

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

Predicting Temporal Activation Patterns via Recurrent Neural Networks

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

A Factorization Approach for Survival Analysis on Diffusion Networks

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

Who to follow and why: link prediction with explanations

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

Probabilistic Approaches to Recommendations

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

Sequential Variational Autoencoders for Collaborative Filtering

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

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.

Specifying mining algorithms with iterative user-defined aggregates

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

Nondeterministic, Nonmonotonic Logic Databases

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

Eureka! : A Tool for Interactive Knowledge Discovery

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

Survival Factorization on Diffusion Networks

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

Topic-aware social influence propagation models

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

Querying Inductive Databases via Logic-Based User-Defined Aggregates

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

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.

New Frontiers in Mining Complex Patterns

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

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

Eureka!: an interactive and visual knowledge discovery tool

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

Web log data warehousing and mining for intelligent web caching

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

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

Riccardo Ortale, Andrea Tagarelli, Giuseppe Manco, 2009 .

A Deductive Data Model for Representing and Querying Semistructured Data

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

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

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

Query Answering in Nondeterministic, Nonmonotonic Logic Databases

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

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D. Pedreschi, F. Giannotti, M. Nanni, 2022 .

Logical Languages for Data Mining

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

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

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

Recent advances in mining patterns from complex data

G. Manco, A. Appice, E. Masciari, 2016, 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.

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

G. Manco, R. Ortale, E. Ritacco, 2012, Knowledge and Information Systems.

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.

Rule Learning with Probabilistic Smoothing

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

Boosting text segmentation via progressive classification

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

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

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

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

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

Declarative Knowledge Extraction with Interactive User-Defined Aggregates

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

Measurement of muon pairs produced via γγ scattering in nonultraperipheral Pb+

Amal K. Ghosh, W. Y. Chan, A. S. Mete, 2023, Physical Review C.

Learning Ideological Embeddings from Information Cascades

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

Measurements of the suppression and correlations of dijets in Pb+Pb collisions at sNN=5.02<

Amal K. Ghosh, W. Y. Chan, A. S. Mete, 2023, Physical Review C.

Correlations between flow and transverse momentum in Xe+Xe and Pb

Amal K. Ghosh, W. Y. Chan, I. N. Aleksandrov, 2023, Physical Review C.

Clustering Transactional Data

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

Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels

G. Manco, N. Leone, F. Ricca, 2023, Theory and Practice of Logic Programming.

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.

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

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

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

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

Mining and reasoning on workflows

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

Mining Constrained Graphs: The Case of Workflow Systems

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

Mining Unconnected Patterns in Workflow

G. Manco, G. Greco, A. Guzzo, 2006 .

Mining categories for emails via clustering and pattern discovery

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

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..

Fault detection and explanation through big data analysis on sensor streams

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

Web wrapper induction: a brief survey

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

Deep Autoencoder Ensembles for Anomaly Detection on Blockchain

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

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

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

A Deep Learning Approach for Detecting Security Attacks on Blockchain

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

Measurements of the suppression and correlations of dijets in Xe+Xe collisions at sNN=5.44<

Amal K. Ghosh, L. M. Brown, B. J. Wilson, 2023, Physical Review C.

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..

Towards An Adaptive Mail Classifier

Elio Masciari, Andrea Tagarelli, Giuseppe Manco, 2002 .

Clustering Relational Data: A Transactional Approach

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

Probabilistic Approaches to Recommendations

G. Manco, E. Ritacco, Nicola Barbieri, 2014, Probabilistic Approaches to Recommendations.

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.

Characterizing Relationships through Co-clustering - A Probabilistic Approach

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

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

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

G. Manco, L. Sarda, J. Fantini, 2010, Biochimica et biophysica acta.