Riccardo Ortale | Giuseppe Manco

Latest

A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships
Hierarchical clustering of XML documents focused on structural components
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data
Data De-duplication: A Review
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments
Modeling item selection and relevance for accurate recommendations: a bayesian approach
An incremental clustering scheme for data de-duplication
Fast and Effective Hierarchical Clustering of XML Documents by Structure
Mining models of exceptional objects through rule learning
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains
Clustering Relational Data: A Transactional Approach
Rule Learning with Probabilistic Smoothing
A hierarchical model-based approach to co-clustering high-dimensional data
Boosting text segmentation via progressive classification
DAEDALUS: A knowledge discovery analysis framework for movement data
The DAEDALUS framework: progressive querying and mining of movement data
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario
Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data
RecBoost: A Supervised Approach to Text Segmentation
A Tree-Based Approach to Clustering XML Documents by Structure
Clustering of XML Documents by Structure based on Tree Matching and Merging
Similarity-Based Clustering of Web Transactions