Different types of data skewness can result in load imbalance in the context of parallel joins under the shared nothing architecture. We study one important type of skewness, join ...
Foto N. Afrati, Victor Kyritsis, Paraskevas V. Lek...
- The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
In many applied problems in the context of pattern recognition, the data often involve highly asymmetric observations. Normal mixture models tend to overfit when additional compone...
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
In this paper, a method of handling both access frequency skew and data amount skew on a distributed parallel storage system under version management system is discussed. We assum...
Mana Nakano, Dai Kobayashi, Akitsugu Watanabe, Tos...