Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Text is a pervasive information type, and many applications require querying over text sources in addition to structured data. This paper studies the problem of query processing i...
Abstract. Similarity search in large multimedia databases requires efficient query processing based on suitable similarity models. Similarity models consist of a feature extraction...
Abstract Sensor devices produce data that are unreliable, low-level, and seldom able to be used directly by applications. In this paper, we propose Metaphysical Data Independence (...
Shawn R. Jeffery, Michael J. Franklin, Minos N. Ga...
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...