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KDD
2009
ACM
305views Data Mining» more  KDD 2009»
14 years 9 months ago
Grocery shopping recommendations based on basket-sensitive random walk
We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
14 years 9 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
MOBISYS
2009
ACM
14 years 9 months ago
R2D2: regulating beam shape and rate as directionality meets diversity
We design, implement, and evaluate a vehicular communication system that improves uplink connectivity through multi-lobe beam pattern switching on a smart antenna. Directionality ...
Kishore Ramachandran, Ravi Kokku, Karthikeyan Sund...
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
KDD
2007
ACM
181views Data Mining» more  KDD 2007»
14 years 9 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain