The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
Exploding amounts of multimedia data increasingly require automatic indexing and classification, e.g. training classifiers to produce high-level features, or semantic concepts, ch...
Wei Jiang, Eric Zavesky, Shih-Fu Chang, Alexander ...
Poor quality data is prevalent in databases due to a variety of reasons, including transcription errors, lack of standards for recording database fields, etc. To be able to query ...
Byung-Won On, Nick Koudas, Dongwon Lee, Divesh Sri...
This paper addresses the issue of unsupervised network anomaly detection. In recent years, networks have played more and more critical roles. Since their outages cause serious eco...
It is envisaged that services and applications will migrate to a cloud-computing paradigm where thin-clients on userdevices access, over the network, applications hosted in data c...
Fang Hao, T. V. Lakshman, Sarit Mukherjee, Haoyu S...