We developed
a general framework for scaling up learning algorithms to massive
data streams and data sets; applied it to develop 7 learning
systems; and evaluated them in extensive empirical studies on real
work and synthetic data sets.
By mining
social networks, we can identify key people with the most network
influence. This information may be used for marketing, reducing the
spread of disease, etc.