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ORCIDGiuseppe Manco 0001
Person information
- affiliation: Institute of High Performance Computing and Networks, Rende, Italy
Other persons with the same name
- Giuseppe Manco 0002
![[0000-0001-6191-3952]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6191-3952")
— National Research Council, Italy
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2020 – today
- 2023
[c90]Lluís Garcia Pueyo, Panayiotis Tsaparas, Prathyusha Senthil Kumar, Timos Sellis, Paolo Papotti, Sibel Adali, Giuseppe Manco, Tudor Trufinescu, Gireeja Ranade, James Verbus, Mehmet N. Tek, Anthony McCosker:
Integrity 2023: Integrity in Social Networks and Media. WSDM 2023: 1269-1270- [i7]Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama:
Modeling Events and Interactions through Temporal Processes - A Survey. CoRR abs/2303.06067 (2023) - 2022
- [j29]Massimo Guarascio, Nunziato Cassavia, Francesco Sergio Pisani, Giuseppe Manco:
Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection. Future Gener. Comput. Syst. 135: 30-43 (2022) - [j28]Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra:
Machine learning methods for generating high dimensional discrete datasets. WIREs Data Mining Knowl. Discov. 12(2) (2022) - [c89]Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Luca Caviglione, Giuseppe Manco:
Revealing MageCart-like Threats in Favicons via Artificial Intelligence. ARES 2022: 45:1-45:7 - [c88]Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco:
Cascade-based Echo Chamber Detection. CIKM 2022: 1511-1520 - [c87]Vito Barbara, Dimitri Buelli, Massimo Guarascio, Stefano Ierace, Salvatore Iiritano, Giovanni Laboccetta, Nicola Leone, Giuseppe Manco, Valerio Pesenti, Alessandro Quarta, Francesco Ricca, Ettore Ritacco:
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels. CILC 2022: 247-253 - [c86]Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Giuseppe Manco, Luca Caviglione:
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning. ITASEC 2022: 102-113 - [c85]Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra:
Generating Synthetic Discrete Datasets with Machine Learning. SEBD 2022: 341-350 - [c84]Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco:
Towards Extreme Multi-Label Classification of Multimedia Content. SEBD 2022: 367-374 - [e11]Michelangelo Ceci, Sergio Flesca, Elio Masciari, Giuseppe Manco, Zbigniew W. Ras:
Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3-5, 2022, Proceedings. Lecture Notes in Computer Science 13515, Springer 2022, ISBN 978-3-031-16563-4 [contents] - [i6]Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco:
Cascade-based Echo Chamber Detection. CoRR abs/2208.04620 (2022) - 2021
- [j27]Giuseppe Manco, Ettore Ritacco, Nicola Barbieri:
A Factorization Approach for Survival Analysis on Diffusion Networks. IEEE Trans. Knowl. Data Eng. 33(1): 1-13 (2021) - [c83]Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi:
Learning Ideological Embeddings from Information Cascades. CIKM 2021: 1325-1334 - [c82]Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco:
Adversarial Regularized Reconstruction for Anomaly Detection and Generation. ICDM 2021: 1204-1209 - [c81]Marco Zuppelli, Giuseppe Manco, Luca Caviglione, Massimo Guarascio:
Sanitization of Images Containing Stegomalware via Machine Learning Approaches. ITASEC 2021: 374-386 - [c80]Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama:
Hyper-parameter Optimization for Latent Spaces. ECML/PKDD (3) 2021: 249-264 - [c79]Luciano Caroprese, Giuseppe Manco, Marco Minici, Francesco Sergio Pisani, Ettore Ritacco:
Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper). SEBD 2021: 450-457 - [c78]Angelica Liguori, Giuseppe Manco, Ettore Ritacco, Massimilano Ruffolo, Salvatore Iiritano:
A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper). SEBD 2021: 474-481 - [i5]Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi:
Learning Ideological Embeddings from Information Cascades. CoRR abs/2109.13589 (2021) - 2020
- [j26]Antonio L. Alfeo, Mario G. C. A. Cimino, Giuseppe Manco, Ettore Ritacco, Gigliola Vaglini:
Using an autoencoder in the design of an anomaly detector for smart manufacturing. Pattern Recognit. Lett. 136: 272-278 (2020) - [c77]Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco:
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain. ISMIS 2020: 448-456 - [c76]Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco:
A Deep Learning Approach for Detecting Security Attacks on Blockchain. ITASEC 2020: 212-222 - [c75]Francesco Folino, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Luigi Pontieri, Ettore Ritacco:
Exploiting Temporal Convolution for Activity Prediction in Process Analytics. PKDD/ECML Workshops 2020: 263-275 - [e10]Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla:
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents] - [e9]Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
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. Lecture Notes in Computer Science 11948, Springer 2020, ISBN 978-3-030-48860-4 [contents] - [e8]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
Complex Pattern Mining - New Challenges, Methods and Applications. Studies in Computational Intelligence 880, Springer 2020, ISBN 978-3-030-36616-2 [contents]
2010 – 2019
- 2019
- [c74]Giuseppe Manco, Ettore Ritacco, Noveen Sachdeva, Massimo Guarascio:
Deep Sequential Modeling for Recommendation. SEBD 2019 - [c73]Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi:
Sequential Variational Autoencoders for Collaborative Filtering. WSDM 2019: 600-608 - [r4]Massimo Guarascio, Giuseppe Manco, Ettore Ritacco:
Knowledge Discovery in Databases. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 336-341 - [r3]Massimo Guarascio, Giuseppe Manco, Ettore Ritacco:
Deep Learning. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 634-647 - [r2]Giuseppe Manco, Ettore Ritacco, Massimo Guarascio:
Network Topology. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 958-967 - [r1]Massimo Guarascio, Giuseppe Manco, Ettore Ritacco:
Network Models. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 968-977 - 2018
- [c72]Giuseppe Manco, Giuseppe Pirrò, Ettore Ritacco:
Predicting Temporal Activation Patterns via Recurrent Neural Networks. ISMIS 2018: 347-356 - [c71]Giuseppe Manco, Giuseppe Pirrò, Ettore Ritacco:
Temporal Recurrent Activation Networks. SEBD 2018 - [p4]Stefano Basta, Giuseppe Manco, Elio Masciari, Luigi Pontieri:
20+ Years of Analytics on Complex Data: Impact, Issues, Challenges and Contributions. A Comprehensive Guide Through the Italian Database Research 2018: 353-374 - [e7]Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10785, Springer 2018, ISBN 978-3-319-78679-7 [contents] - [i4]Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi:
Sequential Variational Autoencoders for Collaborative Filtering. CoRR abs/1811.09975 (2018) - 2017
- [j25]Fabrizio Angiulli, Fabio Fassetti, Giuseppe Manco, Luigi Palopoli:
Outlying property detection with numerical attributes. Data Min. Knowl. Discov. 31(1): 134-163 (2017) - [j24]Giuseppe Manco, Ettore Ritacco, Pasquale Rullo, Lorenzo Gallucci, Will Astill, Dianne Kimber, Marco Antonelli:
Fault detection and explanation through big data analysis on sensor streams. Expert Syst. Appl. 87: 141-156 (2017) - [j23]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Efficient Methods for Influence-Based Network-Oblivious Community Detection. ACM Trans. Intell. Syst. Technol. 8(2): 32:1-32:31 (2017) - [c70]Giuseppe Manco, Giuseppe Pirrò:
Differential Privacy and Neural Networks: A Preliminary Analysis. PAP@PKDD/ECML 2017: 23-35 - [c69]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco:
Survival Factorization on Diffusion Networks. ECML/PKDD (1) 2017: 684-700 - 2016
- [j22]Giuseppe Manco, Pasquale Rullo, Lorenzo Gallucci, Mirko Paturzo:
Rialto: A Knowledge Discovery suite for data analysis. Expert Syst. Appl. 59: 145-164 (2016) - [j21]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari:
Recent advances in mining patterns from complex data. J. Intell. Inf. Syst. 47(1): 1-3 (2016) - [j20]Shirley Coleman, Rainer Göb, Giuseppe Manco, Antonio Pievatolo, Xavier Tort-Martorell, Marco Seabra dos Reis:
How Can SMEs Benefit from Big Data? Challenges and a Path Forward. Qual. Reliab. Eng. Int. 32(6): 2151-2164 (2016) - [e6]Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9607, Springer 2016, ISBN 978-3-319-39314-8 [contents] - [e5]Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9851, Springer 2016, ISBN 978-3-319-46127-4 [contents] - [e4]Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9852, Springer 2016, ISBN 978-3-319-46226-4 [contents] - 2015
- [e3]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8983, Springer 2015, ISBN 978-3-319-17875-2 [contents] - 2014
- [b1]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco:
Probabilistic Approaches to Recommendations. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2014 - [j19]Gianni Costa, Giuseppe Manco, Elio Masciari:
Dealing with trajectory streams by clustering and mathematical transforms. J. Intell. Inf. Syst. 42(1): 155-177 (2014) - [j18]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco:
Mining complex patterns. J. Intell. Inf. Syst. 42(2): 179-180 (2014) - [c68]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Who to follow and why: link prediction with explanations. KDD 2014: 1266-1275 - [c67]Gianni Costa, Giuseppe Manco, Riccardo Ortale:
A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships. ECML/PKDD (1) 2014: 258-273 - [e2]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8399, Springer 2014, ISBN 978-3-319-08406-0 [contents] - 2013
- [j17]Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco:
Hierarchical clustering of XML documents focused on structural components. Data Knowl. Eng. 84: 26-46 (2013) - [j16]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Topic-aware social influence propagation models. Knowl. Inf. Syst. 37(3): 555-584 (2013) - [j15]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco, Marco Carnuccio, Antonio Bevacqua:
Probabilistic topic models for sequence data. Mach. Learn. 93(1): 5-29 (2013) - [c66]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Influence-Based Network-Oblivious Community Detection. ICDM 2013: 955-960 - [c65]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Towards Topic-aware Social Influence Propagation Models. SEBD 2013: 199-206 - [c64]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Cascade-based community detection. WSDM 2013: 33-42 - [e1]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7765, Springer 2013, ISBN 978-3-642-37381-7 [contents] - [i3]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Giuseppe Manco:
Outlying Property Detection with Numerical Attributes. CoRR abs/1306.3558 (2013) - 2012
- [c63]Nicola Barbieri, Antonio Bevacqua, Marco Carnuccio, Giuseppe Manco, Ettore Ritacco:
Probabilistic Sequence Modeling for Recommender Systems. KDIR 2012: 75-84 - [c62]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Topic-Aware Social Influence Propagation Models. ICDM 2012: 81-90 - [c61]Giuseppe Manco, Elio Masciari:
XML class outlier detection. IDEAS 2012: 155-164 - [c60]Alfredo Cuzzocrea, Giuseppe Manco, Elio Masciari:
Effective Detection of XML Outliers. KES 2012: 1221-1232 - [c59]Gianni Costa, Giuseppe Manco, Elio Masciari:
Effectively Grouping Trajectory Streams. NFMCP 2012: 94-108 - [c58]Nicola Barbieri, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco:
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. SDM 2012: 1035-1046 - [c57]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco:
Hierarchical Latent Factors for Preference Data. SEBD 2012: 251-256 - 2011
- [j14]Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco:
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments. Knowl. Inf. Syst. 33(1): 137-169 (2011) - [c56]Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco:
Characterizing Relationships through Co-clustering - A Probabilistic Approach. KDIR 2011: 64-73 - [c55]Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco:
A Block Coclustering Model for Pattern Discovering in Users' Preference Data. IC3K 2011: 94-108 - [c54]Nicola Barbieri, Giuseppe Manco:
An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering. ECML/PKDD (1) 2011: 172-187 - [c53]Nicola Barbieri, Gianni Costa, Giuseppe Manco, Riccardo Ortale:
Modeling item selection and relevance for accurate recommendations: a bayesian approach. RecSys 2011: 21-28 - [c52]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco:
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. SDM 2011: 630-641 - [c51]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco:
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract). SEBD 2011: 239-246 - [p3]Gianni Costa, Alfredo Cuzzocrea, Giuseppe Manco, Riccardo Ortale:
Data De-duplication: A Review. Learning Structure and Schemas from Documents 2011: 385-412 - 2010
- [j13]Gianni Costa, Giuseppe Manco, Riccardo Ortale:
An incremental clustering scheme for data de-duplication. Data Min. Knowl. Discov. 20(1): 152-187 (2010) - [c50]Nicola Barbieri, Massimo Guarascio, Giuseppe Manco:
A Block Mixture Model for Pattern Discovery in Preference Data. ICDM Workshops 2010: 1100-1107 - [c49]Gianni Costa, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale:
Mining models of exceptional objects through rule learning. SAC 2010: 1078-1082 - [c48]Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco:
Fast and Effective Hierarchical Clustering of XML Documents by Structure. SEBD 2010: 358-369
2000 – 2009
- 2009
- [c47]Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco:
Rule Learning with Probabilistic Smoothing. DaWaK 2009: 428-440 - [c46]Stefano Basta, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Fosca Giannotti, Dino Pedreschi, Laura Spinsanti, Gianfilippo Papi, Stefano Pisani:
High Quality True-Positive Prediction for Fiscal Fraud Detection. ICDM Workshops 2009: 7-12 - [c45]Gianni Costa, Alfredo Cuzzocrea, Giuseppe Manco, Riccardo Ortale:
Clustering Relational Data: A Transactional Approach. ICTAI 2009: 25-32 - [c44]Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco:
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains. SEBD 2009: 261-272 - [i2]Stefano Basta, Fosca Giannotti, Giuseppe Manco, Dino Pedreschi, Laura Spinsanti:
SNIPER: A Data Mining Methodology for Fiscal Fraud Detection. ERCIM News 2009(78) (2009) - 2008
- [j12]Giuseppe Manco, Elio Masciari, Andrea Tagarelli:
Mining categories for emails via clustering and pattern discovery. J. Intell. Inf. Syst. 30(2): 153-181 (2008) - [j11]Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale:
Boosting text segmentation via progressive classification. Knowl. Inf. Syst. 15(3): 285-320 (2008) - [c43]Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis:
The DAEDALUS framework: progressive querying and mining of movement data. GIS 2008: 52 - [c42]Gianni Costa, Giuseppe Manco, Riccardo Ortale:
A hierarchical model-based approach to co-clustering high-dimensional data. SAC 2008: 886-890 - [c41]Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis:
DAEDALUS: A knowledge discovery analysis framework for movement data. SEBD 2008: 191-198 - [p2]Giuseppe Manco, Miriam Baglioni, Fosca Giannotti, Bart Kuijpers, Alessandra Raffaetà, Chiara Renso:
Querying and Reasoning for Spatiotemporal Data Mining. Mobility, Data Mining and Privacy 2008: 335-374 - 2007
- [j10]Sergio Flesca, Giuseppe Manco, Elio Masciari, Luigi Pontieri, Andrea Pugliese:
Exploiting structural similarity for effective Web information extraction. Data Knowl. Eng. 60(1): 222-234 (2007) - [j9]Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Domenico Saccà:
Mining unconnected patterns in workflows. Inf. Syst. 32(5): 685-712 (2007) - [j8]Eugenio Cesario, Giuseppe Manco, Riccardo Ortale:
Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. IEEE Trans. Knowl. Data Eng. 19(12): 1607-1624 (2007) - [c40]Gianni Costa, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale:
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario. ICDE Workshops 2007: 904-911 - [c39]Gianni Costa, Francesco Folino, Giuseppe Manco, Riccardo Ortale:
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data. SEBD 2007: 88-99 - 2006
- [c38]Francesco Folino, Giuseppe Manco, Luigi Pontieri:
Effective Incremental Clustering for Duplicate Detection in Large Databases. IDEAS 2006: 45-52 - [c37]Eugenio Cesario, Giuseppe Manco, Riccardo Ortale:
Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. SEBD 2006: 80-92 - [c36]Francesco Folino, Giuseppe Manco, Luigi Pontieri:
Effective Incremental Clustering for Duplicate Detection in Large Databases. SEBD 2006: 93-104 - 2005
- [j7]Sergio Flesca, Giuseppe Manco, Elio Masciari, Luigi Pontieri, Andrea Pugliese:
Fast Detection of XML Structural Similarity. IEEE Trans. Knowl. Data Eng. 17(2): 160-175 (2005) - [j6]Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Domenico Saccà:
Mining and Reasoning on Workflows. IEEE Trans. Knowl. Data Eng. 17(4): 519-534 (2005) - [c35]Eugenio Cesario, Francesco Folino, Giuseppe Manco, Luigi Pontieri:
An Incremental Clustering Scheme for Duplicate Detection in Large Databases. IDEAS 2005: 89-95 - [c34]Antonio Congiusta, Domenico Talia, Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Luigi Pontieri, Domenico Saccà:
A Data Mining-based Framework for GridWorkflow Management. QSIC 2005: 349-356 - [c33]Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Domenico Saccà:
Mining Unconnected Patterns in Workflows. SDM 2005: 561-565 - [c32]Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Domenico Saccà:
Mining Correlations in Workflows Executions. SEBD 2005: 137-148 - [c31]Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale:
RecBoost: A Supervised Approach to Text Segmentation. SEBD 2005: 220-231 - [i1]Elio Masciari, Sergio Flesca, Giuseppe Manco, Luigi Pontieri, Andrea Pugliese:
Exploiting Structural Similarity For Effective Web Information Extraction. Foundations of Semistructured Data 2005 - 2004
- [j5]Sergio Flesca, Giuseppe Manco, Elio Masciari, Eugenio Rende, Andrea Tagarelli:
Web wrapper induction: a brief survey. AI Commun. 17(2): 57-61 (2004) - [j4]Fosca Giannotti, Giuseppe Manco, Franco Turini:
Specifying Mining Algorithms with Iterative User-Defined Aggregates. IEEE Trans. Knowl. Data Eng. 16(10): 1232-1246 (2004) - [j3]Giuseppe Manco, Clara Pizzuti, Domenico Talia:
Eureka!: an interactive and visual knowledge discovery tool. J. Vis. Lang. Comput. 15(1): 1-35 (2004) - [c30]Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Luigi Pontieri, Domenico Saccà:
Mining Constrained Graphs: The Case of Workflow Systems. Constraint-Based Mining and Inductive Databases 2004: 155-171 - [c29]Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli:
A Tree-Based Approach to Clustering XML Documents by Structure. PKDD 2004: 137-148 - [c28]Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli:
Clustering of XML Documents by Structure based on Tree Matching and Merging. SEBD 2004: 314-325 - [p1]Fosca Giannotti, Giuseppe Manco, Franco Turini:
Towards a Logic Query Language for Data Mining. Database Support for Data Mining Applications 2004: 76-94 - 2003
- [c27]Fosca Giannotti, Giuseppe Manco, Jef Wijsen:
Logical Languages for Data Mining. Logics for Emerging Applications of Databases 2003: 325-361 - [c26]