Genetic programming and serial processing for time series classification
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- @Article{Alfaro-Cid:2014:EC,
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author = "Eva Alfaro-Cid and Ken Sharman and
Anna I. Esparcia-Alcazar",
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title = "Genetic programming and serial processing for time
series classification",
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journal = "Evolutionary Computation",
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year = "2014",
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volume = "22",
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number = "2",
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pages = "265--285",
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month = "Summer",
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keywords = "genetic algorithms, genetic programming,
Classification, time series, serial data processing,
real world applications",
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ISSN = "1063-6560",
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DOI = "doi:10.1162/EVCO_a_00110",
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size = "20 pages",
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abstract = "This work describes an approach devised by the authors
for time series classification. In our approach genetic
programming is used in combination with a serial
processing of data, where the last output is the result
of the classification. The use of genetic programming
for classification, although still a field where more
research in needed, is not new. However, the
application of genetic programming to classification
tasks is normally done by considering the input data as
a feature vector. That is, to the best of our
knowledge, there are not examples in the genetic
programming literature of approaches where the time
series data are processed serially and the last output
is considered as the classification result. The serial
processing approach presented here fills a gap in the
existing literature. This approach was tested in three
different problems. Two of them are real world problems
whose data were gathered for on-line or conference
competitions. As there are published results of these
two problems this gives us the chance of comparing the
performance of our approach against top performing
methods. The serial processing of data in combination
with genetic programming obtained competitive results
in both competitions, showing its potential for solving
time series classification problems. The main advantage
of our serial processing approach is that it can easily
handle very large data sets.",
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notes = "ECJ. EEG BCI competition II. Ford Classification
Challenge",
- }
Genetic Programming entries for
Eva Alfaro-Cid
Kenneth C Sharman
Anna Esparcia-Alcazar
Citations