Publications
2024
| Natale Amato, Berardina De Carolis, Francesco de Gioia, Mario Nicola Venezia, Giuseppe Palestra, Corrado Loglisci:
Can an AI-driven VTuber engage People? The KawAIi Case Study (short paper). IUI Workshops (2024)
DOI: https://ceur-ws.org/Vol-3660/paper21.pdf |
2023
| Corrado Loglisci, Donato Malerba:
Coupling quantum classification and quantum distance estimation in continual learning. AIQxQIA@AI*IA (2023)
DOI: https://ceur-ws.org/Vol-3586/paper1.pdf | | Rosa Porro, Thomas Ercole, Giuseppe Pipitò, Gennaro Vessio, Corrado Loglisci:
Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns. SEBD: 583-594 (2023)
DOI: https://ceur-ws.org/Vol-3478/paper43.pdf | | Berardina De Carolis, Corrado Loglisci, Monitillo Giuseppe, Katya Trufanova:
Analyzing Stress Responses Related to Usability of User Interfaces. CHItaly: 5:1-5:9 (2023)
DOI: https://doi.org/10.1145/3605390.3605399 | | Corrado Loglisci, Ivan Diliso, Donato Malerba:
A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning. SEBD: 88-99 (2023)
DOI: https://ceur-ws.org/Vol-3478/paper79.pdf | | Gianluca Calo', Francesco Massafra, Berardina De Carolis, Corrado Loglisci:
Emotion Hunters at EMit: Categorical Emotion Detection combining BERT and ChatGPT models (short paper). EVALITA (2023)
DOI: https://ceur-ws.org/Vol-3473/paper2.pdf |
2021
| Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba:
A Network Intrusion Detection System for Concept Drifting Network Traffic Data. DS: 111-121 (2021)
DOI: https://doi.org/10.1007/978-3-030-88942-5_9 | | Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro:
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS: 111-122 (2021)
DOI: https://doi.org/10.1145/3474369.3486864 | | Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Mining emotion-aware sequential rules at user-level from micro-blogs. J. Intell. Inf. Syst. 57(2): 369-394 (2021)
DOI: https://doi.org/10.1007/s10844-021-00647-8 |
2020
| Corrado Loglisci, Marco Zappatore, Antonella Longo, Mario A. Bochicchio, Donato Malerba:
Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data. ISMIS: 235-244 (2020)
DOI: https://doi.org/10.1007/978-3-030-59491-6_22 | | Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
Complex Pattern Mining - New Challenges, Methods and Applications Complex Pattern Mining Studies in Computational Intelligence 880, Springer (2020), ISBN: 978-3-030-36617-9
DOI: https://doi.org/10.1007/978-3-030-36617-9 | | Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci:
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS: 451-467 (2020)
DOI: https://doi.org/10.1007/978-3-030-61527-7_30 | | Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD: 343-350 (2020)
DOI: https://ceur-ws.org/Vol-2646/38-paper.pdf | | 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 PKDD/ECML Workshops Communications in Computer and Information Science 1323, Springer (2020), ISBN: 978-3-030-65965-3
DOI: https://doi.org/10.1007/978-3-030-65965-3 | | Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. 94: 103830 (2020)
DOI: https://doi.org/10.1016/j.engappai.2020.103830 | | 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 NFMCP@PKDD/ECML Lecture Notes in Computer Science 11948, Springer (2020), ISBN: 978-3-030-48861-1
DOI: https://doi.org/10.1007/978-3-030-48861-1 | | Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access 8: 53346-5335 (2020)
DOI: https://doi.org/10.1109/ACCESS.2020.2980937 | | Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. 192: 105303 (2020)
DOI: https://doi.org/10.1016/j.knosys.2019.105303 | | Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining: 137-152 (2020)
DOI: https://doi.org/10.1007/978-3-030-36617-9_9 |
2019
| Marco Zappatore, Corrado Loglisci, Antonella Longo, Mario A. Bochicchio, Lucia Vaira, Donato Malerba:
Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing. IEEE Access 7: 154141-154 (2019)
DOI: https://doi.org/10.1109/ACCESS.2019.2948757 | | Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba:
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD (2019)
DOI: https://ceur-ws.org/Vol-2400/paper-23.pdf | | Corrado Loglisci, Donato Malerba:
Periodicity Detection of Emotional Communities in Microblogging. AI*IA: 558-571 (2019)
DOI: https://doi.org/10.1007/978-3-030-35166-3_39 | | Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops: 281-290 (2019)
DOI: https://doi.org/10.1109/EuroSPW.2019.00038 |
2018
| 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 NFMCP@PKDD/ECML Lecture Notes in Computer Science 10785, Springer (2018), ISBN: 978-3-319-78680-3
DOI: https://doi.org/10.1007/978-3-319-78680-3 | | Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba:
An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT: 615-626 (2018)
DOI: https://doi.org/10.1007/978-3-319-75928-9_55 | | Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian. ISMIS: 258-267 (2018)
DOI: https://doi.org/10.1007/978-3-030-01851-1_25 | | Corrado Loglisci:
Using interactions and dynamics for mining groups of moving objects from trajectory data. Int. J. Geogr. Inf. Sci. 32(7): 1436-1468 (2018)
DOI: https://doi.org/10.1080/13658816.2017.1416473 | | Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. 161: 294-312 (2018)
DOI: https://doi.org/10.1016/j.knosys.2018.07.011 | | Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba:
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA: 123-135 (2018)
DOI: https://doi.org/10.1007/978-3-030-03840-3_10 | | Annalisa Appice, Corrado Loglisci, Donato Malerba:
Active learning via collective inference in network regression problems. Inf. Sci. 460: 293-317 (2018)
DOI: https://doi.org/10.1016/j.ins.2018.05.028 |
2017
| Corrado Loglisci, Donato Malerba:
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. Stat. Anal. Data Min. 10(1): 40-53 (2017)
DOI: https://doi.org/10.1002/sam.11336 | | Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers NFMCP@ECML/PKDD Lecture Notes in Computer Science 10312, Springer (2017), ISBN: 978-3-319-61461-8
DOI: https://doi.org/10.1007/978-3-319-61461-8 | | Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci:
Temporal Pattern Mining from Evolving Networks. CoRR (2017)
DOI: http://arxiv.org/abs/1709.06772 |
2016
| 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)
DOI: https://doi.org/10.1007/s10844-016-0415-6 | | 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 NFMCP Lecture Notes in Computer Science 9607, Springer (2016), ISBN: 978-3-319-39314-8
DOI: https://doi.org/10.1007/978-3-319-39315-5 | | Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML: 198-212 (2016)
DOI: https://doi.org/10.1007/978-3-319-61461-8_13 | | Corrado Loglisci, Annalisa Appice, Donato Malerba:
Collective regression for handling autocorrelation of network data in a transductive setting. J. Intell. Inf. Syst. 46(3): 447-472 (2016)
DOI: https://doi.org/10.1007/s10844-015-0361-8 |
2015
| 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 NFMCP Lecture Notes in Computer Science 8983, Springer (2015), ISBN: 978-3-319-17875-2
DOI: https://doi.org/10.1007/978-3-319-17876-9 | | Michelangelo Ceci, Corrado Loglisci, Lynn Rudd, Donato Malerba:
Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis. IT@LIA@AI*IA (2015)
DOI: https://ceur-ws.org/Vol-1509/ITALIA2015_paper_3.pdf | | Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational mining for discovering changes in evolving networks. Neurocomputing 150: 265-288 (2015)
DOI: https://doi.org/10.1016/j.neucom.2014.08.079 | | Corrado Loglisci, Donato Malerba:
Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery. NFMCP: 76-90 (2015)
DOI: https://doi.org/10.1007/978-3-319-39315-5_6 | | Corrado Loglisci, Bachir Balech, Donato Malerba:
Discovering Variability Patterns for Change Detection in Complex Phenotype Data. ISMIS: 9-18 (2015)
DOI: https://doi.org/10.1007/978-3-319-25252-0_2 |
2014
| 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 NFMCP Lecture Notes in Computer Science 8399, Springer (2014), ISBN: 978-3-319-08406-0
DOI: https://doi.org/10.1007/978-3-319-08407-7 | | Corrado Loglisci, Donato Malerba, Apostolos N. Papadopoulos:
Mining Trajectory Data for Discovering Communities of Moving Objects. EDBT/ICDT Workshops: 301-308 (2014)
DOI: https://ceur-ws.org/Vol-1133/paper-49.pdf | | Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco:
Mining complex patterns. J. Intell. Inf. Syst. 42(2): 179-180 (2014)
DOI: https://doi.org/10.1007/s10844-013-0301-4 | | Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia:
Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. IRCDL: 52-59 (2014)
DOI: https://doi.org/10.1016/j.procs.2014.10.011 | | Corrado Loglisci, Annalisa Appice, Donato Malerba:
Collective Inference for Handling Autocorrelation in Network Regression. ISMIS: 542-547 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_58 | | Corrado Loglisci, Donato Malerba:
Mining Dense Regions from Vehicular Mobility in Streaming Setting. ISMIS: 40-49 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_5 | | Corrado Loglisci, Annalisa Appice, Antonella Montinari, Donato Malerba:
Network Regression in Collective Inference Setting. SEBD: 224-235 (2014) |
2013
| Corrado Loglisci:
Time-based discovery in biomedical literature: mining temporal links. Int. J. Data Anal. Tech. Strateg. 5(2): 148-174 (2013)
DOI: https://doi.org/10.1504/IJDATS.2013.053679 | | Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC Bioinform. 14: S8 (2013)
DOI: https://doi.org/10.1186/1471-2105-14-S7-S8 | | 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 NFMCP Lecture Notes in Computer Science 7765, Springer (2013), ISBN: 978-3-642-37381-7
DOI: https://doi.org/10.1007/978-3-642-37382-4 | | Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD: 445-452 (2013) |
2012
| Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. ICDM Workshops: 789-796 (2012)
DOI: https://doi.org/10.1109/ICDMW.2012.20 | | Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. DEXA (2): 48-55 (2012)
DOI: https://doi.org/10.1007/978-3-642-32597-7_5 | | Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia, Donato Malerba, Luciano Quercia:
Document Image Understanding through Iterative Transductive Learning. IRCDL: 117-128 (2012)
DOI: https://doi.org/10.1007/978-3-642-35834-0_13 | | Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Evolution Chains in Dynamic Networks. NFMCP: 185-199 (2012)
DOI: https://doi.org/10.1007/978-3-642-37382-4_13 | | Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba:
Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. ECAI: 654-659 (2012)
DOI: https://doi.org/10.3233/978-1-61499-098-7-654 |
2011
| Corrado Loglisci, Michelangelo Ceci:
Discovering Temporal Bisociations for Linking Concepts over Time. ECML/PKDD (2): 358-373 (2011)
DOI: https://doi.org/10.1007/978-3-642-23783-6_23 | | Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Temporal Data Mining Framework for Analyzing Longitudinal Data. DEXA (2): 97-106 (2011)
DOI: https://doi.org/10.1007/978-3-642-23091-2_9 | | Michelangelo Ceci, Corrado Loglisci, Eliana Salvemini, Domenica D'Elia, Donato Malerba:
Mining Spatial Association Rules for Composite Motif Discovery. Mathematical Approaches to Polymer Sequence Analysis and Related Problems: 87-109 (2011)
DOI: https://doi.org/10.1007/978-1-4419-6800-5_5 | | Michelangelo Ceci, Corrado Loglisci, Donato Malerba:
Transductive Learning of Logical Structures from Document Images. Learning Structure and Schemas from Documents: 121-142 (2011)
DOI: https://doi.org/10.1007/978-3-642-22913-8_6 | | Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito:
MBlab: Molecular Biodiversity Laboratory. IRCDL: 132-135 (2011)
DOI: https://doi.org/10.1007/978-3-642-27302-5_18 | | Michelangelo Ceci, Corrado Loglisci, Stefano Ferilli, Donato Malerba:
Project D.A.M.A.: Document Acquisition, Management and Archiving. IRCDL: 115-118 (2011)
DOI: https://doi.org/10.1007/978-3-642-27302-5_13 | | Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Discovering process models through relational disjunctive patterns mining. CIDM: 200-207 (2011)
DOI: https://doi.org/10.1109/CIDM.2011.5949299 | | Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. SEBD: 227-238 (2011) |
2010
| Annalisa Appice, Michelangelo Ceci, Corrado Loglisci:
Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. DBKDA: 120-125 (2010)
DOI: https://doi.org/10.1109/DBKDA.2010.14 | | Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational Learning of Disjunctive Patterns in Spatial Networks. NyNaK (2010)
DOI: https://ceur-ws.org/Vol-655/dynak2010_paper2.pdf | | Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba:
Complex objects ranking: a relational data mining approach. SAC: 1071-1077 (2010)
DOI: https://doi.org/10.1145/1774088.1774311 | | Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Relational Approach for Discovering Frequent Patterns with Disjunctions. DaWak: 263-274 (2010)
DOI: https://doi.org/10.1007/978-3-642-15105-7_21 | | Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. ECAI: 1117-1118 (2010)
DOI: https://doi.org/10.3233/978-1-60750-606-5-1117 | | Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Temporal Patterns of Complex Events in Biosignal Data. SEBD: 306-317 (2010) |
2009
| Antonio Turi, Corrado Loglisci, Eliana Salvemini, Giorgio Grillo, Donato Malerba, Domenica D'Elia:
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining. BMC Bioinform. 10 (2009)
DOI: https://doi.org/10.1186/1471-2105-10-S6-S25 | | Corrado Loglisci, Donato Malerba:
A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. AIME: 26-35 (2009)
DOI: https://doi.org/10.1007/978-3-642-02976-9_4 | | Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba:
Relational Frequent Patterns Mining for Novelty Detection from Data Streams. MLDM: 427-439 (2009)
DOI: https://doi.org/10.1007/978-3-642-03070-3_32 | | Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. ISMIS: 119-128 (2009)
DOI: https://doi.org/10.1007/978-3-642-04125-9_15 | | Corrado Loglisci, Donato Malerba:
Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. MLDM: 251-265 (2009)
DOI: https://doi.org/10.1007/978-3-642-03070-3_19 | | Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba:
Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS: 563-572 (2009)
DOI: https://doi.org/10.1007/978-3-642-04125-9_59 | | Corrado Loglisci, Eliana Salvemini, Antonio Turi, Giorgio Grillo, Donato Malerba, Domenica D'Elia:
Mining Frequent Patterns of Biological Spaced Motifs. SEBD: 117-124 (2009) | | Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba:
A Relational Approach to Novelty Detection in Data Streams. SEBD: 89-100 (2009) |
2008
2007
| Corrado Loglisci, Margherita Berardi, Saverio D'Alessandro, Pietro Leo:
Finding Generalized Closed Frequent Itemsets for Mining Non Redundant Association Rules. SEBD: 184-195 (2007) |
2006
| Corrado Loglisci, Margherita Berardi:
Segmentation of Evolving Complex Data and Generation of Models. ICDM Workshops: 269-273 (2006)
DOI: https://doi.org/10.1109/ICDMW.2006.144 | | Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo:
Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling. ISMIS: 369-378 (2006)
DOI: https://doi.org/10.1007/11875604_43 |
2005
| Margherita Berardi, Michele Lapi, Pietro Leo, Corrado Loglisci:
Mining Generalized Association Rules on Biomedical Literature. IEA/AIE: 500-509 (2005)
DOI: https://doi.org/10.1007/11504894_68 |
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