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Annalisa Appice
2010 – today
- 2013
[j9]Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski: Dealing with spatial autocorrelation when learning predictive clustering trees. Ecological Informatics 13: 22-39 (2013)- [e1]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras (Eds.): 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. Lecture Notes in Computer Science 7765, Springer 2013, ISBN 978-3-642-37381-7
- 2012
- [j8]Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski: Network regression with predictive clustering trees. Data Min. Knowl. Discov. 25(2): 378-413 (2012)
- [c70]Annalisa Appice, Donato Malerba, Anna Ciampi: Continuously Mining Sliding Window Trend Clusters in a Sensor Network. DEXA (2) 2012: 248-255
- [c69]Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo: Transductive Relational Classification in the Co-training Paradigm. MLDM 2012: 11-25
- [c68]Pietro Guccione, Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo: Trend cluster based interpolation everywhere in a sensor network. SAC 2012: 827-828
- [c67]Anna Ciampi, Annalisa Appice, Pietro Guccione, Donato Malerba: Integrating Trend Clusters for Spatio-temporal Interpolation of Missing Sensor Data. W2GIS 2012: 203-220
- 2011
- [j7]Annalisa Appice, Michelangelo Ceci, Antonio Turi, Donato Malerba: A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets. Intell. Data Anal. 15(1): 69-88 (2011)
- [c66]Anna Ciampi, Annalisa Appice, Donato Malerba, Pietro Guccione: Trend cluster based compression of geographically distributed data streams. CIDM 2011: 168-175
- [c65]Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba: Discovering process models through relational disjunctive patterns mining. CIDM 2011: 200-207
- [c64]Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski: Global and Local Spatial Autocorrelation in Predictive Clustering Trees. Discovery Science 2011: 307-322
- [c63]Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito: MBlab: Molecular Biodiversity Laboratory. IRCDL 2011: 132-135
- [c62]Donato Malerba, Michelangelo Ceci, Annalisa Appice: Relational Mining in Spatial Domains: Accomplishments and Challenges. ISMIS 2011: 16-24
- [c61]Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo: Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes. ISMIS 2011: 365-375
- [c60]Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski: Network Regression with Predictive Clustering Trees. ECML/PKDD (3) 2011: 333-348
- [c59]Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba: Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. SEBD 2011: 227-238
- 2010
- [c58]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci: Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. DBKDA 2010: 120-125
- [c57]Michelangelo Ceci, Annalisa Appice, Donato Malerba: Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion. ECAI 2010: 1107-1108
- [c56]Anna Ciampi, Annalisa Appice, Donato Malerba: Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams. MSM/MUSE 2010: 142-161
- [c55]Anna Ciampi, Annalisa Appice, Donato Malerba: Summarization for Geographically Distributed Data Streams. KES (3) 2010: 339-348
- [c54]Annalisa Appice, Michelangelo Ceci, Donato Malerba: Transductive learning for spatial regression with co-training. SAC 2010: 1065-1070
- [c53]Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba: Complex objects ranking: a relational data mining approach. SAC 2010: 1071-1077
- [c52]Michelangelo Ceci, Annalisa Appice, Donato Malerba, Nicola Schirone, Nicola Davide Traversa, Valerio Valrosso: Suggesting Tourist Destinations by means of Time-Slice Density Estimation. SEBD 2010: 94-105
- [c51]Anna Ciampi, Annalisa Appice, Donato Malerba, Giuseppe Saponaro, Domenico Triglione: Clustering Spatio-Temporal Data Streams. SEBD 2010: 230-241
- [p1]Michelangelo Ceci, Annalisa Appice, Donato Malerba: Transductive Learning for Spatial Data Classification. Advances in Machine Learning I 2010: 189-207
2000 – 2009
- 2009
- [j6]Donato Malerba, Michelangelo Ceci, Annalisa Appice: A relational approach to probabilistic classification in a transductive setting. Eng. Appl. of AI 22(1): 109-116 (2009)
- [c50]Anna Ciampi, Fabio Fumarola, Annalisa Appice, Donato Malerba: Approximate Frequent Itemset Discovery from Data Stream. AI*IA 2009: 151-160
- [c49]Annalisa Appice, Michelangelo Ceci, Donato Malerba: An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. Discovery Science 2009: 36-50
- [c48]Fabio Fumarola, Anna Ciampi, Annalisa Appice, Donato Malerba: A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams. Discovery Science 2009: 385-392
- [c47]Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba: Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS 2009: 563-572
- [c46]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 2009: 427-439
- [c45]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba: A Relational Approach to Novelty Detection in Data Streams. SEBD 2009: 89-100
- [c44]Annalisa Appice, Michelangelo Ceci, Vincenzo Rizzi, Marco Romano, Donato Malerba: Spatial Regression in the Transductive Setting. SEBD 2009: 297-304
- [c43]Michelangelo Ceci, Annalisa Appice, Giuseppe De Giosa, Gianluigi Dileo, Alessandro Lallo, Donato Malerba: Mining preference relations to rank complex object. SEBD 2009: 313-324
- 2008
- [c42]Michelangelo Ceci, Annalisa Appice, Donato Malerba: Emerging Pattern Based Classification in Relational Data Mining. DEXA 2008: 283-296
- [c41]Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba: A Grid-Based Multi-relational Approach to Process Mining. DEXA 2008: 701-709
- [c40]Annalisa Appice, Anna Ciampi, Antonietta Lanza, Donato Malerba, Antonella Rapolla, Luisa Vetturi: Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective. ICDM Workshops 2008: 326-331
- [c39]Annalisa Appice, Michelangelo Ceci, Donato Malerba: Top-Down Induction of Relational Model Trees in Multi-instance Learning. ILP 2008: 24-41
- [c38]Annalisa Appice, Michelangelo Ceci, Donato Malerba, Savino Saponara: Stepwise Induction of Logistic Model Trees. ISMIS 2008: 68-77
- [c37]Michelangelo Ceci, Annalisa Appice, Costantina Caruso, Donato Malerba: Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. ISMIS 2008: 179-188
- [c36]Michelangelo Ceci, Annalisa Appice, Lucrezia Macchia, Donato Malerba: Relational Classification based on Emerging Patterns. SEBD 2008: 45-56
- [c35]Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba: Distributed Discovery of Multi-Level Approximate Process Patterns. SEBD 2008: 57-68
- 2007
- [c34]Annalisa Appice, Michelangelo Ceci, Carlo Malgieri, Donato Malerba: Discovering Relational Emerging Patterns. AI*IA 2007: 206-217
- [c33]
- [c32]Annalisa Appice, Antonietta Lanza, Donato Malerba: An Integrated Platform for Spatial Data Mining within a GIS Environment. ICDE Workshops 2007: 507-516
- [c31]Michelangelo Ceci, Annalisa Appice, Nicola Barile, Donato Malerba: Transductive Learning from Relational Data. MLDM 2007: 324-338
- [c30]Michelangelo Ceci, Annalisa Appice, Donato Malerba: Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. PKDD 2007: 390-397
- [c29]Annalisa Appice, Saso Dzeroski: Inducing Multi-Target Model Trees in a Stepwise Fashion. SEBD 2007: 16-27
- [c28]Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Antonio Fittipaldi: On Homogeneity Evaluation and Seed Selection in Clustering Relational Data. SEBD 2007: 471-478
- 2006
- [j5]Annalisa Appice, Claudia d'Amato, Floriana Esposito, Donato Malerba: Classification of symbolic objects: A lazy learning approach. Intell. Data Anal. 10(4): 301-324 (2006)
- [j4]Michelangelo Ceci, Annalisa Appice: Spatial associative classification: propositional vs structural approach. J. Intell. Inf. Syst. 27(3): 191-213 (2006)
- [c27]Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo: Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling. ISMIS 2006: 369-378
- [c26]
- [c25]Annalisa Appice, Floriana Esposito, Donato Malerba: Classifying Aggregated Data: a Symbolic Data Analysis Approach. SEBD 2006: 105-116
- 2005
- [c24]Annalisa Appice, Michelangelo Ceci, Donato Malerba: Mining Relational Association Rules for Propositional Classification. AI*IA 2005: 522-534
- [c23]Annalisa Appice, Paolo Buono: Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization. IEA/AIE 2005: 448-458
- [c22]Donato Malerba, Annalisa Appice, Antonio Varlaro, Antonietta Lanza: Spatial Clustering of Structured Objects. ILP 2005: 227-245
- [c21]Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba: Mining and Filtering Multi-level Spatial Association Rules with ARES. ISMIS 2005: 342-353
- [c20]Donato Malerba, Michelangelo Ceci, Annalisa Appice: Mining Model Trees from Spatial Data. PKDD 2005: 169-180
- [c19]Michelangelo Ceci, Annalisa Appice, Donato Malerba: Propositionalization Through Relational Association Rules Mining. SEBD 2005: 125-136
- [c18]Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Donato Malerba, Giuseppe Guarnieri: Relational Clustering with Discrete Spatial Structure. SEBD 2005: 149-160
- 2004
- [j3]Donato Malerba, Floriana Esposito, Michelangelo Ceci, Annalisa Appice: Top-Down Induction of Model Trees with Regression and Splitting Nodes. IEEE Trans. Pattern Anal. Mach. Intell. 26(5): 612-625 (2004)
- [c17]Donato Malerba, Annalisa Appice, Michelangelo Ceci: A Data Mining Query Language for Knowledge Discovery in a Geographical Information System. Database Support for Data Mining Applications 2004: 95-116
- [c16]Annalisa Appice, Michelangelo Ceci, Simon Rawles, Peter A. Flach: Redundant feature elimination for multi-class problems. ICML 2004
- [c15]Michelangelo Ceci, Annalisa Appice, Donato Malerba: Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach. PKDD 2004: 99-111
- [c14]Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Michele Lapi, Donato Malerba, Antonio Turi: Mining interesting spatial association rules: two case studies. SEBD 2004: 86-97
- 2003
- [j2]Annalisa Appice, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, Donato Malerba: Discovery of spatial association rules in geo-referenced census data: A relational mining approach. Intell. Data Anal. 7(6): 541-566 (2003)
- [j1]Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi, Annalisa Appice: Empowering a GIS with inductive learning capabilities: the case of INGENS. Computers, Environment and Urban Systems 27(3): 265-281 (2003)
- [c13]Michelangelo Ceci, Annalisa Appice, Donato Malerba, Vincenzo Colonna: Multi-relational Structural Bayesian Classifier. AI*IA 2003: 250-261
- [c12]Annalisa Appice, Michelangelo Ceci, Donato Malerba: Mining Model Trees: A Multi-relational Approach. ILP 2003: 4-21
- [c11]Michelangelo Ceci, Annalisa Appice, Donato Malerba: Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes. ISMIS 2003: 49-56
- [c10]Annalisa Appice, Michelangelo Ceci, Donato Malerba: MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database. KDID 2003: 17-27
- [c9]Michelangelo Ceci, Annalisa Appice, Donato Malerba: Simplification Methods for Model Trees with Regression and Splitting Nodes. MLDM 2003: 20-34
- [c8]Michelangelo Ceci, Annalisa Appice, Donato Malerba: Mr-SBC: A Multi-relational Naïve Bayes Classifier. PKDD 2003: 95-106
- [c7]Annalisa Appice, Michelangelo Ceci, Donato Malerba, D. Sacchi: Stepwise Model Tree Induction in a Multi-Relational Framework. SEBD 2003: 281-292
- [c6]Annalisa Appice, Michelangelo Ceci, Floriana Esposito, Donato Malerba: Mining Model Trees with Regression and Splitting Nodes. SEBD 2003: 495-506
- 2002
- [c5]Donato Malerba, Annalisa Appice, Michelangelo Ceci, Marianna Monopoli: Trading-Off Local versus Global Effects of Regression Nodes in Model Trees. ISMIS 2002: 393-402
- [c4]Donato Malerba, Annalisa Appice, Michelangelo Ceci, Nicola Vacca: Mining Classification and Association Rules in Geographical Data with SDMOQL. SEBD 2002: 251-264
- [c3]Annalisa Appice, Michelangelo Ceci, Donato Malerba: KDB2000: Uno strumento per la scoperta della conoscenza. SEBD 2002: 417-421
- 2001
- [c2]Donato Malerba, Annalisa Appice, Antonia Bellino, Michelangelo Ceci, Domenico Pallotta: Stepwise Induction of Model Trees. AI*IA 2001: 20-32
- [c1]Antonietta Lanza, Donato Malerba, Francesca A. Lisi, Annalisa Appice, Michelangelo Ceci: Generating Logic Descriptions for the Automated Interpretation of Topographic Maps. GREC 2001: 200-210
Coauthor Index
[j9] [e1] [j8] [c69] [j7] [c65] [c64] [c63] [c62] [c60] [c59] [c58] [c57] [c54] [c53] [c52] [p1] [j6] [c49] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c39] [c38] [c37] [c36] [c35] [c34] [c31] [c30] [j4] [c26] [c24] [c21] [c20] [c19] [j3] [c17] [c16] [c15] [c14] [j2] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j9] [c70] [c69] [c68] [c67] [j7] [c66] [c65] [c64] [c63] [c62] [c61] [c59] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [p1] [j6] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [j5] [c25] [c24] [c22] [c21] [c20] [c19] [c18] [j3] [c17] [c15] [c14] [j2] [j1] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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last updated on 2013-06-04 22:22 CEST by the dblp team