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Author(s): S. Larreina, S. Hernando & D. Grisaleņa
Abstract:
Vast amounts of useful information are accessible to us in multiple formats: from
structured information in databases to organized documents.
However, nobody is
able to read this enormous quantity of information since we do not have enough
time to do it.
Computer hardware and software developments have encouraged the analysis
of great amounts of information and they have also supported real-time,
dynamic, interactive and visual representations.
So we prefer graphs, charts, and maps to interpret this information and make
decisions.
Data Mining, Text Mining or Web Mining techniques would not be very
useful for taking a decision if we could not take advantage from the graphs.
The
main advantage of these graphical presentations is that we could visualize a great
amount of data in a very small amount of space and by using little time.
The user
can more rapidly explore the information.
There is a strong relationship between the Mining and the information
visualization.
There is a need for collecting together the results to date,
organizing them, understanding the essence of this field and providing materials
for the scientific community.
The purpose of this paper is clear: to help the structure of the field, and to
suggest possible applications.
We will explore some aspects as to how space is
used in information visualization or how document collections can be
transformed and visualized.
We will point out how Data Mining results could
serve Business Intelligence applications or Foresight techniques by the creation
of scenarios.
Keywords:
information visualization, Business Intelligence, Foresight, scenario,
representation, data analysis, decision making.
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Pages: 7
Size: 381 kb
Paper DOI: 10.2495/DATA060381
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