Annalisa Appice - researchr alias

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2011

A parallel, distributed algorithm for relational frequent pattern discovery from very large data setsAnnalisa Appice, Michelangelo Ceci, Antonio Turi, Donato Malerba. ida, 15(1):69-88, 2011. [doi]

Space-Time Roll-up and Drill-down into Geo-Trend Stream CubesAnna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo. ismis 2011: 365-375 [doi]

Trend cluster based compression of geographically distributed data streamsAnna Ciampi, Annalisa Appice, Donato Malerba, Pietro Guccione. cidm 2011: 168-175 [doi]

Discovering process models through relational disjunctive patterns miningCorrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba. cidm 2011: 200-207 [doi]

Relational Mining in Spatial Domains: Accomplishments and ChallengesDonato Malerba, Michelangelo Ceci, Annalisa Appice. ismis 2011: 16-24 [doi]

Network Regression with Predictive Clustering TreesDaniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski. pkdd 2011: 333-348 [doi]

2010

Transductive learning for spatial regression with co-trainingAnnalisa Appice, Michelangelo Ceci, Donato Malerba. SAC 2010: 1065-1070 [doi]

Discovering Informative Syntactic Relationships between Named Entities in Biomedical LiteratureAnnalisa Appice, Michelangelo Ceci, Corrado Loglisci. dbkda 2010: 120-125 [doi]

Suggesting Tourist Destinations by means of Time-Slice Density EstimationMichelangelo Ceci, Annalisa Appice, Donato Malerba, Nicola Schirone, Nicola Davide Traversa, Valerio Valrosso. sebd 2010: 94-105

Time-Slice Density Estimation for Semantic-Based Tourist Destination SuggestionMichelangelo Ceci, Annalisa Appice, Donato Malerba. ecai 2010: 1107-1108 [doi]

Transductive Learning for Spatial Data ClassificationMichelangelo Ceci, Annalisa Appice, Donato Malerba. In Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk, editors, Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski. Volume 262 of Studies in Computational Intelligence, pages 189-207, Springer, 2010. [doi]

Complex objects ranking: a relational data mining approachMichelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba. SAC 2010: 1071-1077 [doi]

Summarization for Geographically Distributed Data StreamsAnna Ciampi, Annalisa Appice, Donato Malerba. kes 2010: 339-348 [doi]

Clustering Spatio-Temporal Data StreamsAnna Ciampi, Annalisa Appice, Donato Malerba, Giuseppe Saponaro, Domenico Triglione. sebd 2010: 230-241

2009

Spatial Regression in the Transductive SettingAnnalisa Appice, Michelangelo Ceci, Vincenzo Rizzi, Marco Romano, Donato Malerba. sebd 2009: 297-304

An Iterative Learning Algorithm for Within-Network Regression in the Transductive SettingAnnalisa Appice, Michelangelo Ceci, Donato Malerba. dis 2009: 36-50 [doi]

A Relational Approach to Novelty Detection in Data StreamsAnnalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba. sebd 2009: 89-100

Relational Frequent Patterns Mining for Novelty Detection from Data StreamsMichelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba. mldm 2009: 427-439 [doi]

Novelty Detection from Evolving Complex Data Streams with Time WindowsMichelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba. ismis 2009: 563-572 [doi]

Mining preference relations to rank complex objectMichelangelo Ceci, Annalisa Appice, Giuseppe De Giosa, Gianluigi Dileo, Alessandro Lallo, Donato Malerba. sebd 2009: 313-324

Approximate Frequent Itemset Discovery from Data StreamAnna Ciampi, Fabio Fumarola, Annalisa Appice, Donato Malerba. aiia 2009: 151-160 [doi]

A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data StreamsFabio Fumarola, Anna Ciampi, Annalisa Appice, Donato Malerba. dis 2009: 385-392 [doi]

A relational approach to probabilistic classification in a transductive settingDonato Malerba, Michelangelo Ceci, Annalisa Appice. eaai, 22(1):109-116, 2009. [doi]

2008

Top-Down Induction of Relational Model Trees in Multi-instance LearningAnnalisa Appice, Michelangelo Ceci, Donato Malerba. ilp 2008: 24-41 [doi]

Geographic Knowledge Discovery in INGENS: An Inductive Database PerspectiveAnnalisa Appice, Anna Ciampi, Antonietta Lanza, Donato Malerba, Antonella Rapolla, Luisa Vetturi. icdm 2008: 326-331 [doi]

Stepwise Induction of Logistic Model TreesAnnalisa Appice, Michelangelo Ceci, Donato Malerba, Savino Saponara. ismis 2008: 68-77 [doi]

Relational Classification based on Emerging PatternsMichelangelo Ceci, Annalisa Appice, Lucrezia Macchia, Donato Malerba. sebd 2008: 45-56

Discovering Emerging Patterns for Anomaly Detection in Network Connection DataMichelangelo Ceci, Annalisa Appice, Costantina Caruso, Donato Malerba. ismis 2008: 179-188 [doi]

Emerging Pattern Based Classification in Relational Data MiningMichelangelo Ceci, Annalisa Appice, Donato Malerba. DEXA 2008: 283-296 [doi]

Distributed Discovery of Multi-Level Approximate Process PatternsAntonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba. sebd 2008: 57-68

A Grid-Based Multi-relational Approach to Process MiningAntonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba. DEXA 2008: 701-709 [doi]

2007

Stepwise Induction of Multi-target Model TreesAnnalisa Appice, Saso Dzeroski. ecml 2007: 502-509 [doi]

Discovering Relational Emerging PatternsAnnalisa Appice, Michelangelo Ceci, Carlo Malgieri, Donato Malerba. aiia 2007: 206-217 [doi]

Inducing Multi-Target Model Trees in a Stepwise FashionAnnalisa Appice, Saso Dzeroski. sebd 2007: 16-27

An Integrated Platform for Spatial Data Mining within a GIS EnvironmentAnnalisa Appice, Antonietta Lanza, Donato Malerba. icde 2007: 507-516 [doi]

Discovering Emerging Patterns in Spatial Databases: A Multi-relational ApproachMichelangelo Ceci, Annalisa Appice, Donato Malerba. pkdd 2007: 390-397 [doi]

Transductive Learning from Relational DataMichelangelo Ceci, Annalisa Appice, Nicola Barile, Donato Malerba. mldm 2007: 324-338 [doi]

On Homogeneity Evaluation and Seed Selection in Clustering Relational DataAntonio Varlaro, Annalisa Appice, Antonietta Lanza, Antonio Fittipaldi. sebd 2007: 471-478

2006

2005

Mining Relational Association Rules for Propositional ClassificationAnnalisa Appice, Michelangelo Ceci, Donato Malerba. aiia 2005: 522-534 [doi]

Mining and Filtering Multi-level Spatial Association Rules with ARESAnnalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba. ismis 2005: 342-353 [doi]

Analyzing Multi-level Spatial Association Rules Through a Graph-Based VisualizationAnnalisa Appice, Paolo Buono. ieaaie 2005: 448-458 [doi]

Propositionalization Through Relational Association Rules MiningMichelangelo Ceci, Annalisa Appice, Donato Malerba. sebd 2005: 125-136

Mining Model Trees from Spatial DataDonato Malerba, Michelangelo Ceci, Annalisa Appice. pkdd 2005: 169-180 [doi]

Spatial Clustering of Structured ObjectsDonato Malerba, Annalisa Appice, Antonio Varlaro, Antonietta Lanza. ilp 2005: 227-245 [doi]

Relational Clustering with Discrete Spatial StructureAntonio Varlaro, Annalisa Appice, Antonietta Lanza, Donato Malerba, Giuseppe Guarnieri. sebd 2005: 149-160

2004

2003

Mining Model Trees with Regression and Splitting NodesAnnalisa Appice, Michelangelo Ceci, Floriana Esposito, Donato Malerba. sebd 2003: 495-506

Stepwise Model Tree Induction in a Multi-Relational FrameworkAnnalisa Appice, Michelangelo Ceci, Donato Malerba, D. Sacchi. sebd 2003: 281-292

MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational DatabaseAnnalisa Appice, Michelangelo Ceci, Donato Malerba. kdid 2003: 17-27

Mining Model Trees: A Multi-relational ApproachAnnalisa Appice, Michelangelo Ceci, Donato Malerba. ilp 2003: 4-21 [doi]

Discovery of spatial association rules in geo-referenced census data: A relational mining approachAnnalisa Appice, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, Donato Malerba. ida, 7(6):541-566, 2003. [doi]

Multi-relational Structural Bayesian ClassifierMichelangelo Ceci, Annalisa Appice, Donato Malerba, Vincenzo Colonna. aiia 2003: 250-261 [doi]

Mr-SBC: A Multi-relational Naïve Bayes ClassifierMichelangelo Ceci, Annalisa Appice, Donato Malerba. pkdd 2003: 95-106 [doi]

Comparing Simplification Methods for Model Trees with Regression and Splitting NodesMichelangelo Ceci, Annalisa Appice, Donato Malerba. ismis 2003: 49-56 [doi]

Simplification Methods for Model Trees with Regression and Splitting NodesMichelangelo Ceci, Annalisa Appice, Donato Malerba. mldm 2003: 20-34 [doi]

Empowering a GIS with inductive learning capabilities: the case of INGENSDonato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi, Annalisa Appice. urban, 27(3):265-281, 2003. [doi]

2002

KDB2000: Uno strumento per la scoperta della conoscenzaAnnalisa Appice, Michelangelo Ceci, Donato Malerba. sebd 2002: 417-421

Trading-Off Local versus Global Effects of Regression Nodes in Model TreesDonato Malerba, Annalisa Appice, Michelangelo Ceci, Marianna Monopoli. ismis 2002: 393-402 [doi]

Mining Classification and Association Rules in Geographical Data with SDMOQLDonato Malerba, Annalisa Appice, Michelangelo Ceci, Nicola Vacca. sebd 2002: 251-264

2001

Generating Logic Descriptions for the Automated Interpretation of Topographic MapsAntonietta Lanza, Donato Malerba, Francesca A. Lisi, Annalisa Appice, Michelangelo Ceci. grec 2002: 200-210 [doi]

Stepwise Induction of Model TreesDonato Malerba, Annalisa Appice, Antonia Bellino, Michelangelo Ceci, Domenico Pallotta. aiia 2001: 20-32 [doi]