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KDD
2005
ACM
147views Data Mining» more  KDD 2005»
14 years 2 months ago
Combining proactive and reactive predictions for data streams
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 (...
Ying Yang, Xindong Wu, Xingquan Zhu
DEXAW
2009
IEEE
113views Database» more  DEXAW 2009»
14 years 3 months ago
Identification of Surgery Indicators by Mining Hospital Data: A Preliminary Study
—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...
Marie Persson, Niklas Lavesson
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
14 years 9 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
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...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
FUIN
2008
99views more  FUIN 2008»
13 years 9 months ago
Effective Prediction of Web User Behaviour with User-Level Models
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 ...
ICPR
2008
IEEE
14 years 3 months ago
Alternative similarity functions for graph kernels
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...
Jérôme Kunegis, Andreas Lommatzsch, C...