  We present a Cognitive Amplifier framework to augment things part of an IoT,
with cognitive capabilities for the purpose of improving life convenience.
Specifically, the Cognitive Amplifier consists of knowledge discovery and
prediction components. The knowledge discovery component focuses on finding
natural activity patterns considering their regularity, variations, and
transitions in real life setting. The prediction component takes the discovered
knowledge as the base for inferring what, when, and where the next activity
will happen. Experimental results on real-life data validate the feasibility
and applicability of the proposed approach.
