Semantic caching augments cached data with a semantic description of the data. These semantic descriptions can be used to improve execution time for similar queries by retrieving ...
Norvald H. Ryeng, Jon Olav Hauglid, Kjetil N&oslas...
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
We present the design, implementation, and evaluation of ArrayStore, a new storage manager for complex, parallel array processing. ArrayStore builds on prior work in the area of m...
Emad Soroush, Magdalena Balazinska, Daniel L. Wang
Large knowledge bases consisting of entities and relationships between them have become vital sources of information for many applications. Most of these knowledge bases adopt the...
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...