Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
A number of researchers have become interested in the design of global-scale networked systems and applications. Our thesis here is that the database community's principles a...
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
In recent research, we have proposed a framework for highlevel specification of interactive, data-driven Web applications and established theoretical foundations for their verific...
Alin Deutsch, Liying Sui, Victor Vianu, Dayou Zhou