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Fabrizio Angiulli
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- affiliation: National Research Council, Italy
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2020 – today
- 2023
- [j45]Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
Anomaly detection with correlation laws. Data Knowl. Eng. 145: 102181 (2023) - [j44]Fabrizio Angiulli
, Fabio Fassetti, Luca Ferragina:
${{\mathrm {Latent}}Out}$: an unsupervised deep anomaly detection approach exploiting latent space distribution. Mach. Learn. 112(11): 4323-4349 (2023) - [c71]Fabrizio Angiulli
, Fabio Fassetti
, Simona Nisticò
, Luigi Palopoli
:
Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. DS 2023: 159-173 - [i10]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Reconstruction Error-based Anomaly Detection with Few Outlying Examples. CoRR abs/2305.10464 (2023) - 2022
- [j43]Fabrizio Angiulli
, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti, Luigi Palopoli:
Graph-based construction of minimal models. Artif. Intell. 313: 103754 (2022) - [j42]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao:
A density estimation approach for detecting and explaining exceptional values in categorical data. Appl. Intell. 52(15): 17534-17556 (2022) - [j41]Fabrizio Angiulli, Teresa Colombo, Fabio Fassetti
, Angelo Furfaro, Paola Paci:
Mining sponge phenomena in RNA expression data. J. Bioinform. Comput. Biol. 20(1): 2150022:1-2150022:27 (2022) - [c70]Fabrizio Angiulli
, Fabio Fassetti
, Simona Nisticò
, Luigi Palopoli
:
Outlier Explanation Through Masking Models. ADBIS 2022: 392-406 - [c69]Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
CiteRank: A Method to Evaluate Researchers Influence Based on Citation and Collaboration Networks. ADBIS (Short Papers) 2022: 400-410 - [c68]Fabrizio Angiulli
, Fabio Fassetti
, Luca Ferragina
, Rosaria Spada:
Cooperative Deep Unsupervised Anomaly Detection. DS 2022: 318-328 - [c67]Fabrizio Angiulli, Angelo Furfaro, Domenico Saccà, Ludovica Sacco:
Evaluating Deep Packet Inspection in Large-scale Data Processing. FiCloud 2022: 16-23 - [c66]Fabrizio Angiulli, Alessandra Del Prete, Fabio Fassetti, Simona Nisticò
:
A Semi-automatic Data Generator for Query Answering. ISMIS 2022: 106-114 - [c65]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Detecting Anomalies with rmLatentOut: Novel Scores, Architectures, and Settings. ISMIS 2022: 251-261 - 2021
- [j40]Guansong Pang
, Fabrizio Angiulli, Mihai Cucuringu
, Huan Liu
:
Guest Editorial: Non-IID Outlier Detection in Complex Contexts. IEEE Intell. Syst. 36(3): 3-4 (2021) - [j39]Fabrizio Angiulli
, Fabio Fassetti:
Uncertain distance-based outlier detection with arbitrarily shaped data objects. J. Intell. Inf. Syst. 57(1): 1-24 (2021) - [c64]Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
ODCA: An Outlier Detection Approach to Deal with Correlated Attributes. DaWaK 2021: 180-191 - [c63]Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
A Stochastic Block Model Based Approach to Detect Outliers in Networks. DEXA (1) 2021: 149-154 - [c62]Fabrizio Angiulli
, Fabio Fassetti
, Simona Nisticò
:
Local Interpretable Classifier Explanations with Self-generated Semantic Features. DS 2021: 401-410 - [c61]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Prospero Papaleo:
Meta-feature Extraction Strategies for Active Anomaly Detection. IDEAL 2021: 406-414 - [c60]Fabrizio Angiulli
, Fabio Fassetti
, Simona Nisticò
:
Finding Local Explanations Through Masking Models. IDEAL 2021: 467-475 - 2020
- [j38]Fabrizio Angiulli
, Stefano Basta
, Stefano Lodi, Claudio Sartori:
Reducing distance computations for distance-based outliers. Expert Syst. Appl. 147: 113215 (2020) - [j37]Fabrizio Angiulli
:
CFOF: A Concentration Free Measure for Anomaly Detection. ACM Trans. Knowl. Discov. Data 14(1): 4:1-4:53 (2020) - [c59]Fabrizio Angiulli
, Fabio Fassetti
, Luca Ferragina
:
Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution. DS 2020: 596-611 - [c58]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao:
Detecting and Explaining Exceptional Values in Categorical Data. SEBD 2020: 40-47
2010 – 2019
- 2019
- [c57]Fabrizio Angiulli
, Fabio Fassetti, Luigi Palopoli, Cristina Serrao:
A Density Estimation Approach for Detecting and Explaining Exceptional Values in Categorical Data. DS 2019: 319-334 - [c56]Angelo Furfaro, Luciano Argento, Domenico Saccà, Fabrizio Angiulli, Fabio Fassetti:
An Infrastructure for Service Accountability based on Digital Identity and Blockchain 3.0. INFOCOM Workshops 2019: 632-637 - [r2]Fabrizio Angiulli:
Data Mining: Outlier Detection. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 456-462 - [i9]Fabrizio Angiulli:
CFOF: A Concentration Free Measure for Anomaly Detection. CoRR abs/1901.04992 (2019) - 2018
- [j36]Fabrizio Angiulli
, Estela Narvaez
:
Pruning strategies for nearest neighbor competence preservation learners. Neurocomputing 308: 8-20 (2018) - [j35]Fabrizio Angiulli
, Luciano Argento, Angelo Furfaro
, Andrea Parise:
A hierarchical hybrid framework for modelling anomalous behaviours. Simul. Model. Pract. Theory 82: 103-115 (2018) - [j34]Fabrizio Angiulli
, Luciano Argento, Angelo Furfaro
:
Exploiting Content Spatial Distribution to Improve Detection of Intrusions. ACM Trans. Internet Techn. 18(2): 25:1-25:21 (2018) - [c55]Fabrizio Angiulli, Fabio Fassetti, Angelo Furfaro
, Antonio Piccolo, Domenico Saccà:
Achieving Service Accountability Through Blockchain and Digital Identity. CAiSE Forum 2018: 16-23 - [c54]Fabrizio Angiulli, Luciano Argento, Angelo Furfaro:
Effectiveness of Content Spatial Distribution Analysis in Securing IoT Environments. FiCloud 2018: 41-46 - [c53]Luciano Argento, Fabrizio Angiulli, Angelo Furfaro:
Detection, Prevention and Simulation Approaches to Address Anomalies in Cyber Security. SEBD 2018 - [p1]Fabrizio Angiulli
, Fabio Fassetti, Luigi Palopoli, Domenico Ursino:
A Tour from Regularities to Exceptions. A Comprehensive Guide Through the Italian Database Research 2018: 307-322 - 2017
- [j33]Fabrizio Angiulli
, Fabio Fassetti
, Giuseppe Manco
, Luigi Palopoli:
Outlying property detection with numerical attributes. Data Min. Knowl. Discov. 31(1): 134-163 (2017) - [j32]Fabrizio Angiulli:
On the Behavior of Intrinsically High-Dimensional Spaces: Distances, Direct and Reverse Nearest Neighbors, and Hubness. J. Mach. Learn. Res. 18: 170:1-170:60 (2017) - [c52]Rachel Ben-Eliyahu-Zohary, Fabrizio Angiulli
, Fabio Fassetti, Luigi Palopoli:
Modular Construction of Minimal Models. LPNMR 2017: 43-48 - [c51]Fabrizio Angiulli
:
Concentration Free Outlier Detection. ECML/PKDD (1) 2017: 3-19 - 2016
- [j31]Fabrizio Angiulli
, Fabio Fassetti
:
Toward Generalizing the Unification with Statistical Outliers: The Gradient Outlier Factor Measure. ACM Trans. Knowl. Discov. Data 10(3): 27:1-27:26 (2016) - [j30]Fabrizio Angiulli
, Stefano Basta, Stefano Lodi, Claudio Sartori
:
GPU Strategies for Distance-Based Outlier Detection. IEEE Trans. Parallel Distributed Syst. 27(11): 3256-3268 (2016) - [c50]Fabrizio Angiulli
, Fabio Fassetti
, Estela Narvaez
:
Anomaly Detection in Networks with Temporal Information. DS 2016: 359-375 - [c49]Rachel Ben-Eliyahu-Zohary, Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
Decomposing Minimal Models. KnowProS@IJCAI 2016 - 2015
- [j29]Fabrizio Angiulli
, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli
:
Restricted default theories: Expressive power and outlier detection tasks. Theor. Comput. Sci. 564: 107-130 (2015) - [c48]Fabrizio Angiulli
, Estela Narvaez
:
Pruning Nearest Neighbor Competence Preservation Learners. ICTAI 2015: 943-949 - [c47]Fabrizio Angiulli
, Luciano Argento, Angelo Furfaro
:
Exploiting N-Gram Location for Intrusion Detection. ICTAI 2015: 1093-1098 - [c46]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti, Luigi Palopoli:
Exploiting the HEF property to check model minimality. SEBD 2015: 351-357 - 2014
- [j28]Fabrizio Angiulli
, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti
, Luigi Palopoli
:
On the tractability of minimal model computation for some CNF theories. Artif. Intell. 210: 56-77 (2014) - [j27]Fabrizio Angiulli
, Fabio Fassetti
:
Exploiting domain knowledge to detect outliers. Data Min. Knowl. Discov. 28(2): 519-568 (2014) - [c45]Fabrizio Angiulli
, Stefano Basta
, Stefano Lodi, Claudio Sartori
:
Accelerating outlier detection with intra- and inter-node parallelism. HPCS 2014: 476-483 - [i8]Fabrizio Angiulli, Luciano Argento, Angelo Furfaro:
PCkAD: an unsupervised intrusion detection technique exploiting within payload n-gram location distribution. CoRR abs/1412.3664 (2014) - 2013
- [j26]Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli
, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro:
Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 7(2): 77-89 (2013) - [j25]Fabrizio Angiulli
, Fabio Fassetti
:
Nearest Neighbor-Based Classification of Uncertain Data. ACM Trans. Knowl. Discov. Data 7(1): 1:1-1:35 (2013) - [j24]Fabrizio Angiulli
, Fabio Fassetti
, Luigi Palopoli
:
Discovering Characterizations of the Behavior of Anomalous Subpopulations. IEEE Trans. Knowl. Data Eng. 25(6): 1280-1292 (2013) - [j23]Fabrizio Angiulli
, Stefano Basta
, Stefano Lodi, Claudio Sartori
:
Distributed Strategies for Mining Outliers in Large Data Sets. IEEE Trans. Knowl. Data Eng. 25(7): 1520-1532 (2013) - [c44]Fabrizio Angiulli
, Fabio Fassetti
:
Outlier Detection with Arbitrary Probability Functions. AI*IA 2013: 421-432 - [c43]Fabrizio Angiulli
, Stefano Basta
, Stefano Lodi, Claudio Sartori
:
Fast outlier detection using a GPU. HPCS 2013: 143-150 - [c42]Fabrizio Angiulli, Luigi Palopoli:
Outlier detection: tasks and techniques. SEBD 2013: 1-2 - [c41]Fabrizio Angiulli
, Fabio Fassetti
:
Principal Directions-Based Pivot Placement. SISAP 2013: 85-90 - [i7]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Giuseppe Manco:
Outlying Property Detection with Numerical Attributes. CoRR abs/1306.3558 (2013) - [i6]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti, Luigi Palopoli:
On the Tractability of Minimal Model Computation for Some CNF Theories. CoRR abs/1310.8120 (2013) - 2012
- [j22]Fabrizio Angiulli
:
Prototype-Based Domain Description for One-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1131-1144 (2012) - [j21]Fabrizio Angiulli
, Fabio Fassetti
:
Indexing Uncertain Data in General Metric Spaces. IEEE Trans. Knowl. Data Eng. 24(9): 1640-1657 (2012) - 2011
- [i5]Fabrizio Angiulli, Fabio Fassetti:
Uncertain Nearest Neighbor Classification. CoRR abs/1108.2054 (2011) - [i4]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli:
Tractable Strong Outlier Identification. CoRR abs/1109.4623 (2011) - 2010
- [j20]Fabrizio Angiulli
, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli
:
Outlier detection for simple default theories. Artif. Intell. 174(15): 1247-1253 (2010) - [j19]Fabrizio Angiulli
, Gianluigi Greco, Luigi Palopoli
:
Detecting and repairing anomalous evolutions in noisy environments - Logic programming formalization and complexity results. Ann. Math. Artif. Intell. 60(3-4): 179-228 (2010) - [j18]Fabrizio Angiulli
, Fabio Fassetti
:
Distance-based outlier queries in data streams: the novel task and algorithms. Data Min. Knowl. Discov. 20(2): 290-324 (2010) - [j17]Fabrizio Angiulli
, Annabella Astorino
:
Scaling up support vector machines using nearest neighbor condensation. IEEE Trans. Neural Networks 21(2): 351-357 (2010) - [c40]Fabrizio Angiulli
, Elio Masciari
:
Effectively Monitoring RFID Based Systems. ADBIS 2010: 31-45 - [c39]Elio Masciari, Fabrizio Angiulli:
SMART: Simple Monitoring Enterprise Activities by RFID Tags. CAiSE Forum 2010 - [c38]Fabrizio Angiulli
, Stefano Basta
, Stefano Lodi, Claudio Sartori
:
A Distributed Approach to Detect Outliers in Very Large Data Sets. Euro-Par (1) 2010: 329-340 - [c37]Fabio Fassetti, Fabrizio Angiulli:
Finding Distance-based Outliers in Subspaces through Both Positive and Negative Examples. ICAART (1) 2010: 5-10 - [c36]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Domenico Trimboli:
Detection of Discriminating Rules. ICAART (1) 2010: 169-177
2000 – 2009
- 2009
- [j16]Fabrizio Angiulli
, Fabio Fassetti
:
DOLPHIN: An efficient algorithm for mining distance-based outliers in very large datasets. ACM Trans. Knowl. Discov. Data 3(1): 4:1-4:57 (2009) - [j15]Fabrizio Angiulli
, Fabio Fassetti
, Luigi Palopoli
:
Detecting outlying properties of exceptional objects. ACM Trans. Database Syst. 34(1): 7:1-7:62 (2009) - [c35]Fabrizio Angiulli
, Fabio Fassetti
:
Outlier Detection Using Inductive Logic Programming. ICDM 2009: 693-698 - [r1]Fabrizio Angiulli:
Outlier Detection Techniques for Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 1483-1488 - 2008
- [j14]Fabrizio Angiulli
, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli
:
Outlier detection using default reasoning. Artif. Intell. 172(16-17): 1837-1872 (2008) - [j13]Fabrizio Angiulli
, Eugenio Cesario
, Clara Pizzuti:
Random walk biclustering for microarray data. Inf. Sci. 178(6): 1479-1497 (2008) - [c34]Fabrizio Angiulli
:
Prototype-based Domain Description. ECAI 2008: 107-111 - [c33]Fabrizio Angiulli
, Gianluigi Folino
:
A grid-based architecture for nearest neighbor based condensation of huge datasets. UPGRADE-CN 2008: 13-20 - [c32]Fabrizio Angiulli
, Stefano Basta
:
Optimal Subset Selection for Classification through SAT Encodings. IFIP AI 2008: 309-318 - [c31]Fabrizio Angiulli, Fabio Fassetti:
An Efficient Method for Outlier Detection. SEBD 2008: 326-333 - [c30]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
An Unsupervised Outlier Detection Approach for Cleaning String Data Entries. SEBD 2008: 358-365 - 2007
- [j12]Fabrizio Angiulli
:
Condensed Nearest Neighbor Data Domain Description. IEEE Trans. Pattern Anal. Mach. Intell. 29(10): 1746-1758 (2007) - [j11]Fabrizio Angiulli
:
Fast Nearest Neighbor Condensation for Large Data Sets Classification. IEEE Trans. Knowl. Data Eng. 19(11): 1450-1464 (2007) - [j10]Fabrizio Angiulli
, Gianluigi Folino
:
Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets. IEEE Trans. Knowl. Data Eng. 19(12): 1593-1606 (2007) - [j9]Fabrizio Angiulli
, Gianluigi Greco, Luigi Palopoli
:
Outlier detection by logic programming. ACM Trans. Comput. Log. 9(1): 7 (2007) - [c29]Fabrizio Angiulli
, Fabio Fassetti
:
Very efficient mining of distance-based outliers. CIKM 2007: 791-800 - [c28]Fabrizio Angiulli
, Fabio Fassetti
:
Detecting distance-based outliers in streams of data. CIKM 2007: 811-820 - [c27]Fabrizio Angiulli, Gianluigi Folino:
Efficient Distributed Data Condensation for Nearest Neighbor Classification. Euro-Par 2007: 338-347 - [c26]Fabrizio Angiulli, Valeria Fionda, Simona E. Rombo:
Protein Data Condensation for Effective Quaternary Structure Classification. IDEAL 2007: 810-820 - [c25]Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli, Domenico Trimboli:
The LP-OD System: Logic Programming Meets Outlier Detection. LPNMR 2007: 254-259 - 2006
- [j8]Fabrizio Angiulli
, Stefano Basta
, Clara Pizzuti:
Distance-Based Detection and Prediction of Outliers. IEEE Trans. Knowl. Data Eng. 18(2): 145-160 (2006) - [c24]Fabrizio Angiulli:
Clustering by Exceptions. AAAI 2006: 312-317 - [c23]Fabrizio Angiulli
, Eugenio Cesario
, Clara Pizzuti:
A Greedy Search Approach to Co-clustering Sparse Binary Matrices. ICTAI 2006: 363-370 - [c22]Fabrizio Angiulli
, Gianluigi Greco, Luigi Palopoli
:
Detecting and Repairing Anomalous Evolutions in Noisy Environments: Logic Programming Formalization and Complexity Results. IFIP AI 2006: 41-50 - [c21]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
Un Metodo per la Scoperta di Proprietà Inattese. SEBD 2006: 321-328 - 2005
- [j7]Fabrizio Angiulli:
Enumerating consistent metaquery instantiations. AI Commun. 18(2): 117-141 (2005) - [j6]Fabrizio Angiulli
, Clara Pizzuti:
An approximate algorithm for top-k closest pairs join query in large high dimensional data. Data Knowl. Eng. 53(3): 263-281 (2005) - [j5]Fabrizio Angiulli
, Clara Pizzuti:
Approximate k-Closest-Pairs in Large High-Dimensional Data Sets. J. Math. Model. Algorithms 4(2): 149-179 (2005) - [j4]Fabrizio Angiulli
, Clara Pizzuti:
Outlier Mining in Large High-Dimensional Data Sets. IEEE Trans. Knowl. Data Eng. 17(2): 203-215 (2005) - [c20]Fabrizio Angiulli, Clara Pizzuti:
Gene Expression Biclustering Using Random Walk Strategies. DaWaK 2005: 509-519 - [c19]Fabrizio Angiulli
:
Fast condensed nearest neighbor rule. ICML 2005: 25-32 - [c18]Fabrizio Angiulli:
Condensed Nearest Neighbor Data Domain Description. IDA 2005: 12-23 - [c17]Fabrizio Angiulli
, Stefano Basta
, Clara Pizzuti:
Detection and prediction of distance-based outliers. SAC 2005: 537-542 - 2004
- [j3]Fabrizio Angiulli
, Giovambattista Ianni, Luigi Palopoli
:
On the complexity of inducing categorical and quantitative association rules. Theor. Comput. Sci. 314(1-2): 217-249 (2004) - [c16]Fabrizio Angiulli, Stefano Basta, Clara Pizzuti:
Improving Prediction of Distance-Based Outliers. Discovery Science 2004: 89-100 - [c15]Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli:
Detecting Outliers via Logical Theories and Its Data Complexity. Discovery Science 2004: 101-113 - [c14]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli:
Outlier Detection Using Disjunctive Logic Programming. ECAI 2004: 416-419 - [c13]Fabrizio Angiulli, Clara Pizzuti, Massimo Ruffolo:
DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets. IDEAL 2004: 203-210 - [c12]Fabrizio Angiulli, Clara Pizzuti:
Top-k Closest Pairs Join Query: An Approximate Algorithm for Large High Dimensional Data. IDEAS 2004: 103-110 - [c11]Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli:
Discovering Anomalies in Evidential Knowledge by Logic Programming. JELIA 2004: 578-590 - [i3]Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli:
Outlier Detection by Logic Programming. CoRR cs.AI/0409019 (2004) - 2003
- [j2]Fabrizio Angiulli
, Rachel Ben-Eliyahu-Zohary, Giovambattista Ianni, Luigi Palopoli
:
Computational properties of metaquerying problems. ACM Trans. Comput. Log. 4(2): 149-180 (2003) - [c10]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary:
Exploiting Default Logic to Detect Outliers. APPIA-GULP-PRODE 2003: 86-96 - [c9]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli:
Outlier Detection Using Default Logic. Answer Set Programming 2003 - [c8]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli:
Outlier Detection Using Default Logic. IJCAI 2003: 833-838 - 2002
- [c7]Fabrizio Angiulli, Clara Pizzuti:
Approximate k -Closest-Pairs with Space Filling Curves. DaWaK 2002: 124-134 - [c6]Fabrizio Angiulli, Clara Pizzuti:
Fast Outlier Detection in High Dimensional Spaces. PKDD 2002: 15-26 - 2001
- [c5]Fabrizio Angiulli, Giovambattista Ianni, Luigi Palopoli:
On the Complexity of Mining Association Rules. SEBD 2001: 177-184 - [i2]Fabrizio Angiulli, Giovambattista Ianni, Luigi Palopoli:
On the complexity of inducing categorical and quantitative association rules. CoRR cs.CC/0111009 (2001) - [i1]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Giovambattista Ianni, Luigi Palopoli:
Computational Properties of Metaquerying Problems. CoRR cs.DB/0106012 (2001) - 2000
- [c4]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Giovambattista Ianni, Luigi Palopoli:
Computational Properties of Metaquerying Problems. PODS 2000: 237-244 - [c3]Fabrizio Angiulli, Giovambattista Ianni, Luigi Palopoli:
Metaquerying: proprietà e tecniche di implementazione. SEBD 2000: 317-330
1990 – 1999
- 1997
- [j1]Fabrizio Angiulli, Luigi Palopoli, Riccardo Torlone:
THE GPR System: An Architecture for Integrating Active and Deductive Rules on Complex Database Objects. Theory Pract. Object Syst. 3(4): 285-301 (1997) - 1995
- [c2]Fabrizio Angiulli, F. De Marte, Luigi Palopoli, Riccardo Torlone:
The GPR System: an Architecture for Integrating Active and Deductive Rules. SEBD 1995: 35-53 - 1994
- [c1]Fabrizio Angiulli, Nicola Leone, Fabio Messina, Massimo Romeo:
Collegamento di Basi di Dati Orientate agli Oggetti a Basi di Dati Relazionali Remote. SEBD 1994: 397-406
Coauthor Index
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