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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 8 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
15 years 3 months ago
Finding effectors in social networks
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopu...
WWW
2004
ACM
16 years 5 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
188
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SSD
2001
Springer
218views Database» more  SSD 2001»
15 years 9 months ago
Efficient Mining of Spatiotemporal Patterns
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Ilias Tsoukatos, Dimitrios Gunopulos
AEI
2004
132views more  AEI 2004»
15 years 4 months ago
An adaptive website system to improve efficiency with web mining techniques
The paper proposes an adaptive web system--that is, a website that is capable of changing its original design to fit user requirements. For the purpose of improving shortcomings o...
Ji-Hyun Lee, Wei-Kun Shiu