Shows how to move from conventional data mining to real time data mining is through the use of a method called the Real Time Learning Machine or RTLM.
Data mining is about explaining the past and predicting the future by
exploring and analyzing data. Data mining is a multi-disciplinary
field which combines statistics, machine learning, artificial
intelligence and database technology. Although data mining algorithms
are widely used in extremely diverse situations, in practice, one or
more major limitations almost invariably appear and significantly
constrain successful data mining applications.
problems are associated with large increases in the rate of generation
of data, the quantity of data and the number of attributes (variables)
to be processed. Increasingly, the data situation is now beyond the
capabilities of conventional data mining methods. The term "Real Time"
is used to describe how well a data mining algorithm can accommodate
an ever increasing data load instantaneously. Upgrading conventional
data mining to real time data mining is through the use of a method
termed the Real Time Learning Machine or RTLM.
The use of the RTLM
with conventional data mining methods enables "Real Time Data Mining".
The future of predictive modeling belongs to real time data mining and
the main motivation in authoring this book is to help you to
understand the method and its possible applications."