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Annalisa Appice: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Annalisa Appice, Michelangelo Ceci, Donato Malerba
    Mining Relational Association Rules for Propositional Classification. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2005, pp:522-534 [Conf]
  2. Michelangelo Ceci, Annalisa Appice, Donato Malerba, Vincenzo Colonna
    Multi-relational Structural Bayesian Classifier. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2003, pp:250-261 [Conf]
  3. Donato Malerba, Annalisa Appice, Antonia Bellino, Michelangelo Ceci, Domenico Pallotta
    Stepwise Induction of Model Trees. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2001, pp:20-32 [Conf]
  4. Donato Malerba, Annalisa Appice, Michelangelo Ceci
    A Data Mining Query Language for Knowledge Discovery in a Geographical Information System. [Citation Graph (0, 0)][DBLP]
    Database Support for Data Mining Applications, 2004, pp:95-116 [Conf]
  5. Antonietta Lanza, Donato Malerba, Francesca A. Lisi, Annalisa Appice, Michelangelo Ceci
    Generating Logic Descriptions for the Automated Interpretation of Topographic Maps. [Citation Graph (0, 0)][DBLP]
    GREC, 2001, pp:200-210 [Conf]
  6. Annalisa Appice, Michelangelo Ceci, Simon Rawles, Peter A. Flach
    Redundant feature elimination for multi-class problems. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  7. Annalisa Appice, Paolo Buono
    Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2005, pp:448-458 [Conf]
  8. Annalisa Appice, Michelangelo Ceci, Donato Malerba
    Mining Model Trees: A Multi-relational Approach. [Citation Graph (0, 0)][DBLP]
    ILP, 2003, pp:4-21 [Conf]
  9. Donato Malerba, Annalisa Appice, Antonio Varlaro, Antonietta Lanza
    Spatial Clustering of Structured Objects. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:227-245 [Conf]
  10. Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba
    Mining and Filtering Multi-level Spatial Association Rules with ARES. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:342-353 [Conf]
  11. Annalisa Appice, Michelangelo Ceci
    Mining Tolerance Regions with Model Trees. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:560-569 [Conf]
  12. Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo
    Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:369-378 [Conf]
  13. Michelangelo Ceci, Annalisa Appice, Donato Malerba
    Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2003, pp:49-56 [Conf]
  14. Donato Malerba, Annalisa Appice, Michelangelo Ceci, Marianna Monopoli
    Trading-Off Local versus Global Effects of Regression Nodes in Model Trees. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2002, pp:393-402 [Conf]
  15. Annalisa Appice, Michelangelo Ceci, Donato Malerba
    MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database. [Citation Graph (0, 0)][DBLP]
    KDID, 2003, pp:17-27 [Conf]
  16. Michelangelo Ceci, Annalisa Appice, Donato Malerba
    Simplification Methods for Model Trees with Regression and Splitting Nodes. [Citation Graph (0, 0)][DBLP]
    MLDM, 2003, pp:20-34 [Conf]
  17. Michelangelo Ceci, Annalisa Appice, Donato Malerba
    Mr-SBC: A Multi-relational Naïve Bayes Classifier. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:95-106 [Conf]
  18. Michelangelo Ceci, Annalisa Appice, Donato Malerba
    Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:99-111 [Conf]
  19. Donato Malerba, Michelangelo Ceci, Annalisa Appice
    Mining Model Trees from Spatial Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:169-180 [Conf]
  20. Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Michele Lapi, Donato Malerba, Antonio Turi
    Mining interesting spatial association rules: two case studies. [Citation Graph (0, 0)][DBLP]
    SEBD, 2004, pp:86-97 [Conf]
  21. Annalisa Appice, Michelangelo Ceci, Floriana Esposito, Donato Malerba
    Mining Model Trees with Regression and Splitting Nodes. [Citation Graph (0, 0)][DBLP]
    SEBD, 2003, pp:495-506 [Conf]
  22. Annalisa Appice, Michelangelo Ceci, Donato Malerba
    KDB2000: Uno strumento per la scoperta della conoscenza. [Citation Graph (0, 0)][DBLP]
    SEBD, 2002, pp:417-421 [Conf]
  23. Annalisa Appice, Michelangelo Ceci, Donato Malerba, D. Sacchi
    Stepwise Model Tree Induction in a Multi-Relational Framework. [Citation Graph (0, 0)][DBLP]
    SEBD, 2003, pp:281-292 [Conf]
  24. Annalisa Appice, Floriana Esposito, Donato Malerba
    Classifying Aggregated Data: a Symbolic Data Analysis Approach. [Citation Graph (0, 0)][DBLP]
    SEBD, 2006, pp:105-116 [Conf]
  25. Michelangelo Ceci, Annalisa Appice, Donato Malerba
    Propositionalization Through Relational Association Rules Mining. [Citation Graph (0, 0)][DBLP]
    SEBD, 2005, pp:125-136 [Conf]
  26. Donato Malerba, Annalisa Appice, Michelangelo Ceci, Nicola Vacca
    Mining Classification and Association Rules in Geographical Data with SDMOQL. [Citation Graph (0, 0)][DBLP]
    SEBD, 2002, pp:251-264 [Conf]
  27. Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Donato Malerba, Giuseppe Guarnieri
    Relational Clustering with Discrete Spatial Structure. [Citation Graph (0, 0)][DBLP]
    SEBD, 2005, pp:149-160 [Conf]
  28. 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. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2003, v:7, n:6, pp:541-566 [Journal]
  29. Annalisa Appice, Claudia d'Amato, Floriana Esposito, Donato Malerba
    Classification of symbolic objects: A lazy learning approach. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2006, v:10, n:4, pp:301-324 [Journal]
  30. Michelangelo Ceci, Annalisa Appice
    Spatial associative classification: propositional vs structural approach. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2006, v:27, n:3, pp:191-213 [Journal]
  31. Donato Malerba, Floriana Esposito, Michelangelo Ceci, Annalisa Appice
    Top-Down Induction of Model Trees with Regression and Splitting Nodes. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:5, pp:612-625 [Journal]
  32. Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi, Annalisa Appice
    Empowering a GIS with inductive learning capabilities: the case of INGENS. [Citation Graph (0, 0)][DBLP]
    Computers, Environment and Urban Systems, 2003, v:27, n:3, pp:265-281 [Journal]
  33. Annalisa Appice, Michelangelo Ceci, Carlo Malgieri, Donato Malerba
    Discovering Relational Emerging Patterns. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2007, pp:206-217 [Conf]
  34. Annalisa Appice, Saso Dzeroski
    Stepwise Induction of Multi-target Model Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:502-509 [Conf]
  35. Michelangelo Ceci, Annalisa Appice, Nicola Barile, Donato Malerba
    Transductive Learning from Relational Data. [Citation Graph (0, 0)][DBLP]
    MLDM, 2007, pp:324-338 [Conf]
  36. Michelangelo Ceci, Annalisa Appice, Donato Malerba
    Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:390-397 [Conf]
  37. Annalisa Appice, Saso Dzeroski
    Inducing Multi-Target Model Trees in a Stepwise Fashion. [Citation Graph (0, 0)][DBLP]
    SEBD, 2007, pp:16-27 [Conf]
  38. Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Antonio Fittipaldi
    On Homogeneity Evaluation and Seed Selection in Clustering Relational Data. [Citation Graph (0, 0)][DBLP]
    SEBD, 2007, pp:471-478 [Conf]

  39. Approximate Frequent Itemset Discovery from Data Stream. [Citation Graph (, )][DBLP]


  40. Emerging Pattern Based Classification in Relational Data Mining. [Citation Graph (, )][DBLP]


  41. A Grid-Based Multi-relational Approach to Process Mining. [Citation Graph (, )][DBLP]


  42. A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams. [Citation Graph (, )][DBLP]


  43. An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. [Citation Graph (, )][DBLP]


  44. Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion. [Citation Graph (, )][DBLP]


  45. An Integrated Platform for Spatial Data Mining within a GIS Environment. [Citation Graph (, )][DBLP]


  46. Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective. [Citation Graph (, )][DBLP]


  47. Top-Down Induction of Relational Model Trees in Multi-instance Learning. [Citation Graph (, )][DBLP]


  48. Stepwise Induction of Logistic Model Trees. [Citation Graph (, )][DBLP]


  49. Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. [Citation Graph (, )][DBLP]


  50. Novelty Detection from Evolving Complex Data Streams with Time Windows. [Citation Graph (, )][DBLP]


  51. Relational Frequent Patterns Mining for Novelty Detection from Data Streams. [Citation Graph (, )][DBLP]


  52. Transductive learning for spatial regression with co-training. [Citation Graph (, )][DBLP]


  53. Complex objects ranking: a relational data mining approach. [Citation Graph (, )][DBLP]


  54. Spatial Regression in the Transductive Setting. [Citation Graph (, )][DBLP]


  55. Relational Classification based on Emerging Patterns. [Citation Graph (, )][DBLP]


  56. Distributed Discovery of Multi-Level Approximate Process Patterns. [Citation Graph (, )][DBLP]


  57. Mining preference relations to rank complex object. [Citation Graph (, )][DBLP]


  58. A Relational Approach to Novelty Detection in Data Streams. [Citation Graph (, )][DBLP]


  59. Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. [Citation Graph (, )][DBLP]


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