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Books > Computing & IT > Applications of computing > Artificial intelligence
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Intelligent Data Analytics for Terror Threat Prediction - Architectures, Methodologies, Techniques and Applications (Hardcover)
Loot Price: R5,144
Discovery Miles 51 440
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Intelligent Data Analytics for Terror Threat Prediction - Architectures, Methodologies, Techniques and Applications (Hardcover)
Expected to ship within 10 - 15 working days
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Intelligent data analytics for terror threat prediction is an
emerging field of research at the intersection of information
science and computer science, bringing with it a new era of
tremendous opportunities and challenges due to plenty of easily
available criminal data for further analysis. This book provides
innovative insights that will help obtain interventions to
undertake emerging dynamic scenarios of criminal activities.
Furthermore, it presents emerging issues, challenges and management
strategies in public safety and crime control development across
various domains. The book will play a vital role in improvising
human life to a great extent. Researchers and practitioners working
in the fields of data mining, machine learning and artificial
intelligence will greatly benefit from this book, which will be a
good addition to the state-of-the-art approaches collected for
intelligent data analytics. It will also be very beneficial for
those who are new to the field and need to quickly become
acquainted with the best performing methods. With this book they
will be able to compare different approaches and carry forward
their research in the most important areas of this field, which has
a direct impact on the betterment of human life by maintaining the
security of our society. No other book is currently on the market
which provides such a good collection of state-of-the-art methods
for intelligent data analytics-based models for terror threat
prediction, as intelligent data analytics is a newly emerging field
and research in data mining and machine learning is still in the
early stage of development.
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