Recently there is much need of discovering useful knowledge from massive log-data which are generated by Webbased information systems. Such log-data have multiple attributes about...
Recommendation systems generally produce the results of their output to their users in the form of an ordinal list. In the interest of simplicity, these lists are often obscure, ,...
Today’s Internet suffers from the problem of heterogeneity in client devices, network connectivity, content format, and users’ preferences. The framework presented in this pap...
Khalil El-Khatib, Gregor von Bochmann, Abdulmotale...
Most recommender systems present recommended products in lists to the user. By doing so, much information is lost about the mutual similarity between recommended products. We prop...
Martijn Kagie, Michiel C. van Wezel, Patrick J. F....
The transversal hypergraph enumeration based algorithms can be efficient in mining frequent itemsets, however it is difficult to apply them to sequence mining problems. In this ...
Dong (Haoyuan) Li, Anne Laurent, Maguelonne Teisse...