One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confi...
In traditional Information Retrieval (IR), user profiles are often represented by keyword/concepts space vectors or by some predefined categories. Unfortunately, this data is often...
An emerging paradigm in peer-to-peer (P2P) networks is to explicitly consider incentives as part of the protocol design in order to promote good (or discourage bad) behavior. Howe...
Michael Piatek, Tomas Isdal, Arvind Krishnamurthy,...
This paper proposes a clustering approach that explores both the content and the structure of XML documents for determining similarity among them. Assuming that the content and th...
An applied research for the incremental evolution of a service oriented architecture for local eGovernment portals has been developed. Our reference eGovernment environment, curre...
Antonio Candiello, Andrea Albarelli, Agostino Cort...