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In a world increasingly awash in information, the field of
information science has become an umbrella stretched so broadly as
to threaten its own integrity. However, while traditional
information science seeks to make sense of information systems
against a social, cultural, and political backdrop, there exists a
lack of current literature exploring how such transactions can
exert force in the other direction-that is, how information systems
mold the individuals who utilize them and society as a whole. The
Handbook of Research on Innovations in Information Retrieval,
Analysis, and Management explores new developments in the field of
information and communication technologies and explores how complex
information systems interact with and affect one another, woven
into the fabric of an information-rich world. Touching on such
topics as machine learning, research methodologies, and mobile data
aggregation, this book targets an audience of researchers,
developers, managers, strategic planners, and advanced-level
students. This handbook contains chapters on topics including, but
not limited to, customer experience management, information systems
planning, cellular networking, public policy development, and
knowledge governance.
This book presents a genetic algorithm that optimizes a grid
template pattern detector to find the best point to trade in the SP
500. The pattern detector is based on a template using a grid of
weights with a fixed size. The template takes in consideration not
only the closing price but also the open, high, and low values of
the price during the period under testing in contrast to the
traditional methods of analysing only the closing price. Each cell
of the grid encompasses a score, and these are optimized by an
evolutionary genetic algorithm that takes genetic diversity into
consideration through a speciation routine, giving time for each
individual of the population to be optimized within its own niche.
With this method, the system is able to present better results and
improves the results compared with other template approaches. The
tests considered real data from the stock market and against
state-of-the-art solutions, namely the ones using a grid of weights
which does not have a fixed size and non-speciated approaches.
During the testing period, the presented solution had a return of
21.3% compared to 10.9% of the existing approaches. The use of
speciation was able to increase the returns of some results as
genetic diversity was taken into consideration.
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Artificial Intelligence in Music, Sound, Art and Design - 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings (Paperback, 1st ed. 2021)
Juan Romero, Tiago Martins, Nereida Rodriguez-Fernandez
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R2,657
Discovery Miles 26 570
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Out of stock
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This book constitutes the refereed proceedings of the 10th European
Conference on Artificial Intelligence in Music, Sound, Art and
Design, EvoMUSART 2021, held as part of Evo* 2021, as Virtual
Event, in April 2021, co-located with the Evo* 2021 events, EvoCOP,
EvoApplications, and EuroGP. The 24 revised full papers and 7 short
papers presented in this book were carefully reviewed and selected
from 66 submissions. They cover a wide range of topics and
application areas, including generative approaches to music and
visual art, deep learning, and architecture.
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Artificial Intelligence in Music, Sound, Art and Design - 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings (Paperback, 1st ed. 2020)
Juan Romero, Aniko Ekart, Tiago Martins, Joao Correia
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R1,196
Discovery Miles 11 960
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Out of stock
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This book constitutes the refereed proceedings of the 9th European
Conference on Artificial Intelligence in Music, Sound, Art and
Design, EvoMUSART 2020, held as part of Evo*2020, in Seville,
Spain, in April 2020, co-located with the Evo*2020 events EuroGP,
EvoCOP and EvoApplications. The 15 revised full papers presented
were carefully reviewed and selected from 31 submissions. The
papers cover a wide spectrum of topics and application areas,
including generative approaches to music and visual art, deep
learning, and architecture.
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Artificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20-22, 2022, Proceedings (Paperback, 1st ed. 2022)
Tiago Martins, Nereida Rodriguez-Fernandez, Sergio M. Rebelo
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R3,167
Discovery Miles 31 670
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Ships in 12 - 17 working days
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This book constitutes the refereed proceedings of the 10th European
Conference on Artificial Intelligence in Music, Sound, Art and
Design, EvoMUSART 2022, held as part of Evo* 2022, in April 2022,
co-located with the Evo* 2022 events, EvoCOP, EvoApplications, and
EuroGP. The 20 full papers and 6 short papers presented in this
book were carefully reviewed and selected from 66 submissions. They
cover a wide range of topics and application areas, including
generative approaches to music and visual art, deep learning, and
architecture.
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