Donato Malerba - 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]

Extracting General Lists from Web Documents: A Hybrid ApproachFabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han. ieaaie 2011: 285-294 [doi]

HyLiEn: a hybrid approach to general list extraction on the webFabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han. WWW 2011: 35-36 [doi]

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part IIDimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis, editors, Volume 6912 of Lecture Notes in Computer Science, Springer, 2011. [doi]

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part IDimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis, editors, Volume 6911 of Lecture Notes in Computer Science, Springer, 2011. [doi]

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part IIIDimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis, editors, Volume 6913 of Lecture Notes in Computer Science, Springer, 2011. [doi]

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

A Temporal Data Mining Framework for Analyzing Longitudinal DataCorrado Loglisci, Michelangelo Ceci, Donato Malerba. DEXA 2011: 97-106 [doi]

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

FAST Sequence Mining Based on Sparse Id-ListsEliana Salvemini, Fabio Fumarola, Donato Malerba, Jiawei Han. ismis 2011: 316-325 [doi]

Growing parallel paths for entity-page discoveryTim Weninger, Fabio Fumarola, Cindy Xide Lin, Rick Barber, Jiawei Han, Donato Malerba. WWW 2011: 145-146 [doi]

2010

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

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]

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

Discovering Temporal Patterns of Complex Events in Biosignal DataCorrado Loglisci, Michelangelo Ceci, Donato Malerba. sebd 2010: 306-317

Mining Physiological Data for Discovering Temporal Patterns on Disease StagesCorrado Loglisci, Michelangelo Ceci, Donato Malerba. ecai 2010: 1117-1118 [doi]

A Relational Approach for Discovering Frequent Patterns with DisjunctionsCorrado Loglisci, Michelangelo Ceci, Donato Malerba. dawak 2010: 263-274 [doi]

Unexpected results in automatic list extraction on the webTim Weninger, Fabio Fumarola, Rick Barber, Jiawei Han, Donato Malerba. sigkdd, 12(2):26-30, 2010. [doi]

Mapping web pages to database records via link pathsTim Weninger, Fabio Fumarola, Jiawei Han, Donato Malerba. CIKM 2010: 1637-1640 [doi]

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]

Mining Frequent Patterns of Biological Spaced MotifsCorrado Loglisci, Eliana Salvemini, Antonio Turi, Giorgio Grillo, Donato Malerba, Domenica D Elia. sebd 2009: 117-124

A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient s PhysiologyCorrado Loglisci, Donato Malerba. aime 2009: 26-35 [doi]

Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of RedundanciesCorrado Loglisci, Donato Malerba. mldm 2009: 251-265 [doi]

A Knowledge-Based Framework for Information Extraction from Clinical Practice GuidelinesCorrado Loglisci, Michelangelo Ceci, Donato Malerba. ismis 2009: 119-128 [doi]

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

Computational annotation of UTR cis-regulatory modules through Frequent Pattern MiningAntonio Turi, Corrado Loglisci, Eliana Salvemini, Giorgio Grillo, Donato Malerba, Domenica D Elia. bmcbi, 10(S-6), 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]

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]

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

KD-ASP - A distributed collaborative data mining platformFabio Fumarola, Eliana Salvemini, Donato Malerba. sebd 2008: 109-120

A KDD Platform Based on the Application Service Provider ParadigmFabio Fumarola, Eliana Salvemini, Donato Malerba. icdm 2008: 983-986 [doi]

Discovering Explanations from Longitudinal DataCorrado Loglisci, Donato Malerba. ismis 2008: 196-202 [doi]

Discovering Triggering Events from Longitudinal DataCorrado Loglisci, Donato Malerba. icdm 2008: 248-256 [doi]

Machine Learning for Reading Order Detection in Document Image UnderstandingDonato Malerba, Michelangelo Ceci, Margherita Berardi. In Simone Marinai, editor, (no title). pages 45-69, 2008. [doi]

A relational perspective on spatial data miningDonato Malerba. ijdmmm, 1(1):103-118, 2008. [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

Using colour information to understand censorship cards of film archivesOronzo Altamura, Margherita Berardi, Michelangelo Ceci, Donato Malerba, Antonio Varlaro. ijdar, 9(2-4):281-297, 2007. [doi]

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

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

A Data Mining Methodology for Anomaly Detection in Network DataCostantina Caruso, Donato Malerba. kes 2007: 109-116 [doi]

Classifying web documents in a hierarchy of categories: a comprehensive studyMichelangelo Ceci, Donato Malerba. jiis, 28(1):37-78, 2007. [doi]

Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, SEBD 2007, 17-20 June 2007, Torre Canne, Fasano, BR, ItalyMichelangelo Ceci, Donato Malerba, Letizia Tanca, editors, 2007.

Relational Data Mining and ILP for Document Image UnderstandingMichelangelo Ceci, Margherita Berardi, Donato Malerba. aai, 21(4&5):317-342, 2007. [doi]

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

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

A Data Mining Approach to Reading Order DetectionMichelangelo Ceci, Margherita Berardi, G. Porcelli, Donato Malerba. icdar 2007: 924-928 [doi]

Introduction to the special issueFloriana Esposito, Donato Malerba, Giovanni Semeraro. apin, 26(2):81-82, 2007. [doi]

Learning to Order: A Relational ApproachDonato Malerba, Michelangelo Ceci. ecml 2008: 209-223 [doi]

2006

Mining spatio-temporal dataGennady L. Andrienko, Donato Malerba, Michael May, Maguelonne Teisseire. jiis, 27(3):187-190, 2006. [doi]

Classifying Aggregated Data: a Symbolic Data Analysis ApproachAnnalisa Appice, Floriana Esposito, Donato Malerba. sebd 2006: 105-116

Classification of symbolic objects: A lazy learning approachAnnalisa Appice, Claudia d Amato, Floriana Esposito, Donato Malerba. ida, 10(4):301-324, 2006. [doi]

Learning Recursive Patterns for Biomedical Information ExtractionMargherita Berardi, Donato Malerba. ilp 2007: 79-93 [doi]

Mining Information Extraction Models for HmtDB annotationMargherita Berardi, Donato Malerba, Marcella Attimonelli. icdm 2006: 207-212 [doi]

Relational Data Mining Techniques for Historical Document ProcessingMichelangelo Ceci, Donato Malerba. sebd 2006: 309-320

Foundations of Intelligent Systems, 16th International Symposium, ISMIS 2006, Bari, Italy, September 27-29, 2006, ProceedingsFloriana Esposito, Zbigniew W. Ras, Donato Malerba, Giovanni Semeraro, editors, Volume 4203 of Lecture Notes in Computer Science, Springer, 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]

A color-based layout analysis to process censorship cards of film archivesMargherita Berardi, Oronzo Altamura, Michelangelo Ceci, Donato Malerba. icdar 2005: 1110-1114 [doi]

Learning the Daily Model of Network TrafficCostantina Caruso, Donato Malerba, Davide Papagni. ismis 2005: 131-141 [doi]

Relational Learning: Statistical Approach Versus Logical Approach in Document Image UnderstandingMichelangelo Ceci, Margherita Berardi, Donato Malerba. aiia 2005: 418-429 [doi]

Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approachesMichelangelo Ceci, Margherita Berardi, Donato Malerba. icdar 2005: 473-477 [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

Mining interesting spatial association rules: two case studiesAnnalisa Appice, Margherita Berardi, Michelangelo Ceci, Michele Lapi, Donato Malerba, Antonio Turi. sebd 2004: 86-97

On the Effect of Caching in Recursive Theory LearningMargherita Berardi, Antonio Varlaro, Donato Malerba. ilp 2004: 44-62 [doi]

An Integrated Approach for Automatic Semantic Structure Extraction in Document ImagesMargherita Berardi, Michele Lapi, Donato Malerba. das 2004: 179-190 [doi]

A Data Mining Approach to PubMed Query RefinementMargherita Berardi, Michele Lapi, Pietro Leo, Donato Malerba, Caterina Marinelli, Gaetano Scioscia. dexaw 2004: 401-405 [doi]

Spatial Associative Classification at Different Levels of Granularity: A Probabilistic ApproachMichelangelo Ceci, Annalisa Appice, Donato Malerba. pkdd 2004: 99-111 [doi]

Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML TransformationFloriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli, Oronzo Altamura, Teresa Maria Altomare Basile, Margherita Berardi, Michelangelo Ceci, Nicola Di Mauro. dial 2004: 328-335 [doi]

Inducing Multi-Level Association Rules from Multiple RelationsFrancesca A. Lisi, Donato Malerba. ml, 55(2):175-210, 2004. [doi]

Top-Down Induction of Model Trees with Regression and Splitting NodesDonato Malerba, Floriana Esposito, Michelangelo Ceci, Annalisa Appice. pami, 26(5):612-625, 2004. [doi]

A Data Mining Query Language for Knowledge Discovery in a Geographical Information SystemDonato Malerba, Annalisa Appice, Michelangelo Ceci. cinq 2004: 95-116 [doi]

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

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]

Editor s forewordMaria Francesca Costabile, Donato Malerba. vlc, 14(6):499-501, 2003. [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]

Learning Recursive Theories in the Normal ILP SettingDonato Malerba. FUIN, 57(1):39-77, 2003. [doi]

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