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Note: Links lead to the DBLP on the Web. Fabrizio Angiulli Fabrizio Angiulli, Stefano Basta , Clara Pizzuti : Distance-Based Detection and Prediction of Outliers. IEEE Trans. Knowl. Data Eng. 18 (2): 145-160 (2006) Fabrizio Angiulli, Clara Pizzuti : Gene Expression Biclustering Using Random Walk Strategies. DaWaK 2005 : 509-519 Fabrizio Angiulli: Fast condensed nearest neighbor rule. ICML 2005 : 25-32 Fabrizio Angiulli: Condensed Nearest Neighbor Data Domain Description. IDA 2005 : 12-23 Fabrizio Angiulli, Stefano Basta , Clara Pizzuti : Detection and prediction of distance-based outliers. SAC 2005 : 537-542 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) Fabrizio Angiulli, Clara Pizzuti : Outlier Mining in Large High-Dimensional Data Sets. IEEE Trans. Knowl. Data Eng. 17 (2): 203-215 (2005) Fabrizio Angiulli, Gianluigi Greco , Luigi Palopoli : Detecting Outliers via Logical Theories and Its Data Complexity. Discovery Science 2004 : 101-113 Fabrizio Angiulli, Stefano Basta , Clara Pizzuti : Improving Prediction of Distance-Based Outliers. Discovery Science 2004 : 89-100 Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary , Luigi Palopoli : Outlier Detection Using Disjunctive Logic Programming. ECAI 2004 : 416-419 Fabrizio Angiulli, Clara Pizzuti , Massimo Ruffolo : DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets. IDEAL 2004 : 203-210 Fabrizio Angiulli, Clara Pizzuti : Top-k Closest Pairs Join Query: An Approximate Algorithm for Large High Dimensional Data. IDEAS 2004 : 103-110 Fabrizio Angiulli, Gianluigi Greco , Luigi Palopoli : Discovering Anomalies in Evidential Knowledge by Logic Programming. JELIA 2004 : 578-590 Fabrizio Angiulli, Gianluigi Greco , Luigi Palopoli : Outlier Detection by Logic Programming CoRR cs.AI/0409019 : (2004) 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) Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary : Exploiting Default Logic to Detect Outliers. APPIA-GULP-PRODE 2003 : 86-96 Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary , Luigi Palopoli : Outlier Detection Using Default Logic. Answer Set Programming 2003 Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary , Luigi Palopoli : Outlier Detection Using Default Logic. IJCAI 2003 : 833-838 Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary , Giovambattista Ianni , Luigi Palopoli : Computational properties of metaquerying problems. ACM Trans. Comput. Log. 4 (2): 149-180 (2003) Fabrizio Angiulli, Clara Pizzuti : Approximate k -Closest-Pairs with Space Filling Curves. DaWaK 2002 : 124-134 Fabrizio Angiulli, Clara Pizzuti : Fast Outlier Detection in High Dimensional Spaces. PKDD 2002 : 15-26 Fabrizio Angiulli, Giovambattista Ianni , Luigi Palopoli : On the Complexity of Mining Association Rules. SEBD 2001 : 177-184 Fabrizio Angiulli, Giovambattista Ianni , Luigi Palopoli : On the complexity of inducing categorical and quantitative association rules CoRR cs.CC/0111009 : (2001) Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary , Giovambattista Ianni , Luigi Palopoli : Computational Properties of Metaquerying Problems CoRR cs.DB/0106012 : (2001) Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary , Giovambattista Ianni , Luigi Palopoli : Computational Properties of Metaquerying Problems. PODS 2000 : 237-244 Fabrizio Angiulli, Giovambattista Ianni , Luigi Palopoli : Metaquerying: proprietà e tecniche di implementazione. SEBD 2000 : 317-330 Fabrizio Angiulli, Luigi Palopoli , Riccardo Torlone : THE GPR System: An Architecture for Integrating Active and Deductive Rules on Complex Database Objects. TAPOS 3 (4): 285-301 (1997) Fabrizio Angiulli, F. De Marte , Luigi Palopoli , Riccardo Torlone : The GPR System: an Architecture for Integrating Active and Deductive Rules. SEBD 1995 : 35-53 Fabrizio Angiulli, N. Lenne , F. Messina , Massimo Romeo : Collegamento di Basi di Dati Orientate agli Oggetti a Basi di Dati Relazionali Remote. SEBD 1994 : 397-406 1 [ 21 ] [ 25 ] [ 29 ] 2 [ 5 ] [ 6 ] [ 11 ] [ 12 ] [ 13 ] [ 14 ] [ 20 ] 3 [ 16 ] [ 17 ] [ 22 ] 4 [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 11 ] [ 15 ] 5 [ 1 ] 6 [ 2 ] 7 [ 1 ] 8 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 11 ] [ 12 ] [ 13 ] [ 15 ] [ 16 ] [ 17 ] [ 20 ] [ 22 ] 9 [ 9 ] [ 10 ] [ 18 ] [ 19 ] [ 21 ] [ 23 ] [ 24 ] [ 25 ] [ 28 ] [ 29 ] 10 [ 1 ] 11 [ 19 ] 12 [ 2 ] [ 3 ]  ©2006 Association for Computing Machinery |
