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Dear Colleagues,
Artificial Intelligence (A.I.) is one of the ultimate goal of
computers.
A.I. can passively obtain knowledge and rules from data mining
technology,
and also can actively push data, alarm, remind, or even make the
decision
from user's devices when some criterion is fulfilled. Recently,
the big data
collecting from IOT, stock, healthcare, automobile vision, and so
on.
Streaming data as well as its auto control is a mature technology.
The
intervention of A.I. plays the role of solving the most tedious
and timely
problems.
The aim of this Special Issue is to focus on the "data push and
data mining
of the age of artificial intelligence", providing new approaches
and
technologies for better understanding knowledge-based artificial
intelligence. Submissions to this Special Issue are solicited to
represent
an innovative and creative snapshot of the field's development by
covering a
range of topics that include, but are not limited to: data push;
data mining
(such as association rule, time sequence, outlier, etc.);
knowledge
representation; topology; AI algorithms, solutions, and
applications.
We look forward to receiving your contributions. For more
information,
please visit:
https://www.mdpi.com/journal/electronics/special_issues/P9H1G36K42
Allen AU
(on behalf of Prof. Dr. Fan Wu, Guest Editor of the Special Issue)
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