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This book has a collection of articles written by Big Data experts
to describe some of the cutting-edge methods and applications from
their respective areas of interest, and provides the reader with a
detailed overview of the field of Big Data Analytics as it is
practiced today. The chapters cover technical aspects of key areas
that generate and use Big Data such as management and finance;
medicine and healthcare; genome, cytome and microbiome; graphs and
networks; Internet of Things; Big Data standards; bench-marking of
systems; and others. In addition to different applications, key
algorithmic approaches such as graph partitioning, clustering and
finite mixture modelling of high-dimensional data are also covered.
The varied collection of themes in this volume introduces the
reader to the richness of the emerging field of Big Data Analytics.
This book has a collection of articles written by Big Data experts
to describe some of the cutting-edge methods and applications from
their respective areas of interest, and provides the reader with a
detailed overview of the field of Big Data Analytics as it is
practiced today. The chapters cover technical aspects of key areas
that generate and use Big Data such as management and finance;
medicine and healthcare; genome, cytome and microbiome; graphs and
networks; Internet of Things; Big Data standards; bench-marking of
systems; and others. In addition to different applications, key
algorithmic approaches such as graph partitioning, clustering and
finite mixture modelling of high-dimensional data are also covered.
The varied collection of themes in this volume introduces the
reader to the richness of the emerging field of Big Data Analytics.
Handbook of Statistics: Disease Modelling and Public Health, Part
B, Volume 37 addresses new challenges in existing and emerging
diseases. As a two part volume, this title covers an extensive
range of techniques in the field, with this book including chapters
on Reaction diffusion equations and their application on bacterial
communication, Spike and slab methods in disease modeling,
Mathematical modeling of mass screening and parameter estimation,
Individual-based and agent-based models for infectious disease
transmission and evolution: an overview, and a section on Visual
Clustering of Static and Dynamic High Dimensional Data. This volume
covers the lack of availability of complete data relating to
disease symptoms and disease epidemiology, one of the biggest
challenges facing vaccine developers, public health planners,
epidemiologists and health sector researchers.
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Big Data Benchmarking - 6th International Workshop, WBDB 2015, Toronto, ON, Canada, June 16-17, 2015 and 7th International Workshop, WBDB 2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers (Paperback, 1st ed. 2016)
Tilmann Rabl, Raghunath Nambiar, Chaitanya Baru, Milind Bhandarkar, Meikel Poess, …
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R1,680
Discovery Miles 16 800
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed post-workshop
proceedings of the 6th International Workshop on Big Data
Benchmarking, WBDB 2015, held in Toronto, ON, Canada, in June 2015
and the 7th International Workshop, WBDB 2015, held in New Delhi,
India, in December 2015. The 8 full papers presented in this book
were carefully reviewed and selected from 22 submissions. They deal
with recent trends in big data and HPC convergence, new proposals
for big data benchmarking, as well as tooling and performance
results.
Disease Modelling and Public Health, Part A, Volume 36 addresses
new challenges in existing and emerging diseases with a variety of
comprehensive chapters that cover Infectious Disease Modeling,
Bayesian Disease Mapping for Public Health, Real time estimation of
the case fatality ratio and risk factor of death, Alternative
Sampling Designs for Time-To-Event Data with Applications to
Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction
for cardiovascular disease: An illustration using the ARIC Study,
Theoretical advances in type 2 diabetes, Finite Mixture Models in
Biostatistics, and Models of Individual and Collective Behavior for
Public Health Epidemiology. As a two part volume, the series covers
an extensive range of techniques in the field. It present a vital
resource for statisticians who need to access a number of different
methods for assessing epidemic spread in population, or in
formulating public health policy.
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