
Chapter 13
Final Comments
Data mining is faced with new challenges. All of them share common issues:
a continuously flow of data generated by evolving distributions, the domains
involved (the set of attribute-values) can also be huge, and computation re-
sources (processing power, storage, bandwidth, and battery power) are lim-
ited. In this scenario, data mining approaches involving fixed training sets,
static models, stationary distributions, and unrestricted computational re-
sources are almost obsolete.
The next generation of data mining implies new requirements to be con-
sidered. The algorithms will have to use limited computational resources (in ...