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Similarity Search and Applications - 7th International Conference, SISAP 2014, Los Cabos, Mexico, October 29-31, 2104, Proceedings (Paperback, 2014 ed.)
Agma Juci Machado Traina, Caetano Traina Jr., Robson Leonardo Ferreira Cordeiro
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This book constitutes the refereed proceedings of the 7th
International Conference on Similarity Search and Applications,
SISAP 2014, held in A Coruna, Spain, in October 2014. The 21 full
papers and 6 short papers presented were carefully reviewed and
selected from 45 submissions. The papers are organized in topical
sections on Improving Similarity Search Methods and Techniques;
Indexing and Applications; Metrics and Evaluation; New Scenarios
and Approaches; Applications and Specific Domains.
The amount and the complexity of the data gathered by current
enterprises are increasing at an exponential rate. Consequently,
the analysis of Big Data is nowadays a central challenge in
Computer Science, especially for complex data. For example, given a
satellite image database containing tens of Terabytes, how can we
find regions aiming at identifying native rainforests,
deforestation or reforestation? Can it be made automatically? Based
on the work discussed in this book, the answers to both questions
are a sound "yes", and the results can be obtained in just minutes.
In fact, results that used to require days or weeks of hard work
from human specialists can now be obtained in minutes with high
precision. Data Mining in Large Sets of Complex Data discusses new
algorithms that take steps forward from traditional data mining
(especially for clustering) by considering large, complex datasets.
Usually, other works focus in one aspect, either data size or
complexity. This work considers both: it enables mining complex
data from high impact applications, such as breast cancer
diagnosis, region classification in satellite images, assistance to
climate change forecast, recommendation systems for the Web and
social networks; the data are large in the Terabyte-scale, not in
Giga as usual; and very accurate results are found in just minutes.
Thus, it provides a crucial and well timed contribution for
allowing the creation of real time applications that deal with Big
Data of high complexity in which mining on the fly can make an
immeasurable difference, such as supporting cancer diagnosis or
detecting deforestation.
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