2008 |
47 | EE | Michelangelo Ceci,
Annalisa Appice,
Donato Malerba:
Emerging Pattern Based Classification in Relational Data Mining.
DEXA 2008: 283-296 |
46 | EE | Antonio Turi,
Annalisa Appice,
Michelangelo Ceci,
Donato Malerba:
A Grid-Based Multi-relational Approach to Process Mining.
DEXA 2008: 701-709 |
45 | EE | 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 |
44 | EE | Annalisa Appice,
Michelangelo Ceci,
Donato Malerba:
Top-Down Induction of Relational Model Trees in Multi-instance Learning.
ILP 2008: 24-41 |
43 | EE | Michelangelo Ceci,
Annalisa Appice,
Costantina Caruso,
Donato Malerba:
Discovering Emerging Patterns for Anomaly Detection in Network Connection Data.
ISMIS 2008: 179-188 |
42 | EE | Annalisa Appice,
Michelangelo Ceci,
Donato Malerba,
Savino Saponara:
Stepwise Induction of Logistic Model Trees.
ISMIS 2008: 68-77 |
41 | | Michelangelo Ceci,
Annalisa Appice,
Lucrezia Macchia,
Donato Malerba:
Relational Classification based on Emerging Patterns.
SEBD 2008: 45-56 |
40 | | Antonio Turi,
Annalisa Appice,
Michelangelo Ceci,
Donato Malerba:
Distributed Discovery of Multi-Level Approximate Process Patterns.
SEBD 2008: 57-68 |
2007 |
39 | EE | Annalisa Appice,
Michelangelo Ceci,
Carlo Malgieri,
Donato Malerba:
Discovering Relational Emerging Patterns.
AI*IA 2007: 206-217 |
38 | EE | Annalisa Appice,
Saso Dzeroski:
Stepwise Induction of Multi-target Model Trees.
ECML 2007: 502-509 |
37 | EE | Annalisa Appice,
Antonietta Lanza,
Donato Malerba:
An Integrated Platform for Spatial Data Mining within a GIS Environment.
ICDE Workshops 2007: 507-516 |
36 | EE | Michelangelo Ceci,
Annalisa Appice,
Nicola Barile,
Donato Malerba:
Transductive Learning from Relational Data.
MLDM 2007: 324-338 |
35 | EE | Michelangelo Ceci,
Annalisa Appice,
Donato Malerba:
Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach.
PKDD 2007: 390-397 |
34 | | Annalisa Appice,
Saso Dzeroski:
Inducing Multi-Target Model Trees in a Stepwise Fashion.
SEBD 2007: 16-27 |
33 | | Antonio Varlaro,
Annalisa Appice,
Antonietta Lanza,
Antonio Fittipaldi:
On Homogeneity Evaluation and Seed Selection in Clustering Relational Data.
SEBD 2007: 471-478 |
2006 |
32 | EE | Margherita Berardi,
Annalisa Appice,
Corrado Loglisci,
Pietro Leo:
Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling.
ISMIS 2006: 369-378 |
31 | EE | Annalisa Appice,
Michelangelo Ceci:
Mining Tolerance Regions with Model Trees.
ISMIS 2006: 560-569 |
30 | | Annalisa Appice,
Floriana Esposito,
Donato Malerba:
Classifying Aggregated Data: a Symbolic Data Analysis Approach.
SEBD 2006: 105-116 |
29 | EE | 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) |
28 | EE | Michelangelo Ceci,
Annalisa Appice:
Spatial associative classification: propositional vs structural approach.
J. Intell. Inf. Syst. 27(3): 191-213 (2006) |
2005 |
27 | EE | Annalisa Appice,
Michelangelo Ceci,
Donato Malerba:
Mining Relational Association Rules for Propositional Classification.
AI*IA 2005: 522-534 |
26 | EE | Annalisa Appice,
Paolo Buono:
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization.
IEA/AIE 2005: 448-458 |
25 | EE | Donato Malerba,
Annalisa Appice,
Antonio Varlaro,
Antonietta Lanza:
Spatial Clustering of Structured Objects.
ILP 2005: 227-245 |
24 | EE | Annalisa Appice,
Margherita Berardi,
Michelangelo Ceci,
Donato Malerba:
Mining and Filtering Multi-level Spatial Association Rules with ARES.
ISMIS 2005: 342-353 |
23 | EE | Donato Malerba,
Michelangelo Ceci,
Annalisa Appice:
Mining Model Trees from Spatial Data.
PKDD 2005: 169-180 |
22 | | Michelangelo Ceci,
Annalisa Appice,
Donato Malerba:
Propositionalization Through Relational Association Rules Mining.
SEBD 2005: 125-136 |
21 | | Antonio Varlaro,
Annalisa Appice,
Antonietta Lanza,
Donato Malerba,
Giuseppe Guarnieri:
Relational Clustering with Discrete Spatial Structure.
SEBD 2005: 149-160 |
2004 |
20 | EE | 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 |
19 | EE | Annalisa Appice,
Michelangelo Ceci,
Simon Rawles,
Peter A. Flach:
Redundant feature elimination for multi-class problems.
ICML 2004 |
18 | EE | Michelangelo Ceci,
Annalisa Appice,
Donato Malerba:
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach.
PKDD 2004: 99-111 |
17 | | Annalisa Appice,
Margherita Berardi,
Michelangelo Ceci,
Michele Lapi,
Donato Malerba,
Antonio Turi:
Mining interesting spatial association rules: two case studies.
SEBD 2004: 86-97 |
16 | EE | 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) |
2003 |
15 | EE | Michelangelo Ceci,
Annalisa Appice,
Donato Malerba,
Vincenzo Colonna:
Multi-relational Structural Bayesian Classifier.
AI*IA 2003: 250-261 |
14 | EE | Annalisa Appice,
Michelangelo Ceci,
Donato Malerba:
Mining Model Trees: A Multi-relational Approach.
ILP 2003: 4-21 |
13 | EE | Michelangelo Ceci,
Annalisa Appice,
Donato Malerba:
Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes.
ISMIS 2003: 49-56 |
12 | | 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 |
11 | EE | Michelangelo Ceci,
Annalisa Appice,
Donato Malerba:
Simplification Methods for Model Trees with Regression and Splitting Nodes.
MLDM 2003: 20-34 |
10 | EE | Michelangelo Ceci,
Annalisa Appice,
Donato Malerba:
Mr-SBC: A Multi-relational Naïve Bayes Classifier.
PKDD 2003: 95-106 |
9 | | Annalisa Appice,
Michelangelo Ceci,
Donato Malerba,
D. Sacchi:
Stepwise Model Tree Induction in a Multi-Relational Framework.
SEBD 2003: 281-292 |
8 | | Annalisa Appice,
Michelangelo Ceci,
Floriana Esposito,
Donato Malerba:
Mining Model Trees with Regression and Splitting Nodes.
SEBD 2003: 495-506 |
7 | EE | 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) |
6 | EE | 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) |
2002 |
5 | EE | Donato Malerba,
Annalisa Appice,
Michelangelo Ceci,
Marianna Monopoli:
Trading-Off Local versus Global Effects of Regression Nodes in Model Trees.
ISMIS 2002: 393-402 |
4 | | Donato Malerba,
Annalisa Appice,
Michelangelo Ceci,
Nicola Vacca:
Mining Classification and Association Rules in Geographical Data with SDMOQL.
SEBD 2002: 251-264 |
3 | | Annalisa Appice,
Michelangelo Ceci,
Donato Malerba:
KDB2000: Uno strumento per la scoperta della conoscenza.
SEBD 2002: 417-421 |
2001 |
2 | EE | Donato Malerba,
Annalisa Appice,
Antonia Bellino,
Michelangelo Ceci,
Domenico Pallotta:
Stepwise Induction of Model Trees.
AI*IA 2001: 20-32 |
1 | EE | 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 |