Unlike traditional databases, which are reliable and relatively
unchanging, data streams arrive in an uninterrupted flow which must be
continuously processed. This timely reference book explores and
contrasts the old persistent data set model with today's seamless data
stream environment, and proposes algorithms and systems that work over
continuous data streams. This is the first in-depth treatment of this
evolving topic, covering basic data stream techniques, data stream
synopses, mining data streams, advanced data stream computations, and
systems and architectures for data stream management systems.