367 search results - page 49 / 74 » Algorithms for selecting materialized views in a data wareho... |
ESWS
2011
Springer
13 years 6 days ago
2011
Springer
The emergence of the Semantic Web has led to the creation of large semantic knowledge bases, often in the form of RDF databases. Improving the performance of RDF databases necessit...
PPSN
2010
Springer
13 years 6 months ago
2010
Springer
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
SAC
2006
ACM
14 years 2 months ago
2006
ACM
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
HIS
2004
13 years 10 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...