Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
—The management of patient referrals is an interesting issue when it comes to predicting future patient demand to increase hospital productivity. In general, a patient is referre...
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
The paper concerns the problem of predicting behaviour of web users, based on real historical data which constitutes an important issue in web mining. The research reported here wa...
Krzysztof Dembczynski, Wojciech Kotlowski, Marcin ...
Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...