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Publications of Author

1. Eugenio Cesario, Francesco Folino, Riccardo Ortale
   Putting Enhanced Hypermedia Personalization into Practice via Web Mining. [Citation Graph (0, 0)][DBLP]
   DEXA, 2004, pp:947-956 [Conf]
   
2. Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli
   A Tree-Based Approach to Clustering XML Documents by Structure. [Citation Graph (0, 0)][DBLP]
   PKDD, 2004, pp:137-148 [Conf]
   
3. Giuseppe Manco, Riccardo Ortale, Domenico Saccà
   Similarity-Based Clustering of Web Transactions. [Citation Graph (0, 0)][DBLP]
   SAC, 2003, pp:1212-1216 [Conf]
   
4. Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
   RecBoost: A Supervised Approach to Text Segmentation. [Citation Graph (0, 0)][DBLP]
   SEBD, 2005, pp:220-231 [Conf]
   
5. Eugenio Cesario, Giuseppe Manco, Riccardo Ortale
   Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. [Citation Graph (0, 0)][DBLP]
   SEBD, 2006, pp:80-92 [Conf]
   
6. Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli
   Clustering of XML Documents by Structure based on Tree Matching and Merging. [Citation Graph (0, 0)][DBLP]
   SEBD, 2004, pp:314-325 [Conf]
   
7. Gianni Costa, Francesco Folino, Giuseppe Manco, Riccardo Ortale
   A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data. [Citation Graph (0, 0)][DBLP]
   SEBD, 2007, pp:88-99 [Conf]
   
8. Eugenio Cesario, Giuseppe Manco, Riccardo Ortale
   Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. [Citation Graph (0, 0)][DBLP]
   IEEE Trans. Knowl. Data Eng., 2007, v:19, n:12, pp:1607-1624 [Journal]
   
9. 
   Rule Learning with Probabilistic Smoothing. [Citation Graph (, )][DBLP]
   
   
10. 
    The DAEDALUS framework: progressive querying and mining of movement data. [Citation Graph (, )][DBLP]
    
    
11. 
    Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario. [Citation Graph (, )][DBLP]
    
    
12. 
    Clustering Relational Data: A Transactional Approach. [Citation Graph (, )][DBLP]
    
    
13. 
    A hierarchical model-based approach to co-clustering high-dimensional data. [Citation Graph (, )][DBLP]
    
    
14. 
    Mining models of exceptional objects through rule learning. [Citation Graph (, )][DBLP]
    
    
15. 
    A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains. [Citation Graph (, )][DBLP]
    
    
16. 
    DAEDALUS: A knowledge discovery analysis framework for movement data. [Citation Graph (, )][DBLP]
    
    
17. 
    An incremental clustering scheme for data de-duplication. [Citation Graph (, )][DBLP]