Combining data mining, modelling and visualization (based on authors' Grapheur software) this book would be of interest to analytic professionals.
New Book:
Reactive Business Intelligence
from Data to Models to Insight
by Roberto Battiti and Mauro Brunato,
is now available at
reactivebusinessintelligence.com/
With its combination of data mining,
modelling and visualization ( using the authors
Grapheur software)
this book would be of interest to many analytic professionals.
From
Introduction
It is obvious, you can see it!
Think about how many times you intuitively associate clarity and real understanding with vision. The word intelligence itself derives from the Latin verb intelligere (coming from intus legere, "reading into something," a close cousin of "insight"), again related to reading and
seeing. Humans are innately visual creatures and a big portion of our brain is devoted to processing
visual information. Our ancestors needed to be very fast to identify predators in the jungle and to react
accordingly. They did not survive and transmit genes if they did not. We need to be very fast to transform
huge amounts of information into insight, knowledge, engineering designs, choices, decisions.
We decided to unite in this book aspects related to modeling and aspects related to visualizing data
and models. We are concerned with explanations of our world which can be used, used to predict, used
to build tools. This means measuring objects and events, mining and analyzing massive amounts of
data, and discovering interesting relationships emerging from the data. Visual analytics is a term used
to denote analytical reasoning facilitated by interactive visual interfaces. The effort is surely related to
data mining, the process of automatically extracting interesting patterns from massive amounts of data.
We prefer the term
Reactive Business Intelligence (RBI)
to underline its practical orientation and
the fast reaction implied by two basic learning components, one connecting the user to the software, a
second one internal to the software, through automated and intelligent self-tuning methods. A connection
between visualization and problem-solving strategies is also at the heart of RBI: the decision maker
can be, and should be, in an interactive loop, rapidly reacting to first results and visualizations to direct
the subsequent efforts to suit his needs and preferences.
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