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This book provides an overview of fake news detection, both through
a variety of tutorial-style survey articles that capture
advancements in the field from various facets and in a somewhat
unique direction through expert perspectives from various
disciplines. The approach is based on the idea that advancing the
frontier on data science approaches for fake news is an
interdisciplinary effort, and that perspectives from domain experts
are crucial to shape the next generation of methods and tools. The
fake news challenge cuts across a number of data science subfields
such as graph analytics, mining of spatio-temporal data,
information retrieval, natural language processing, computer vision
and image processing, to name a few. This book will present a
number of tutorial-style surveys that summarize a range of recent
work in the field. In a unique feature, this book includes
perspective notes from experts in disciplines such as linguistics,
anthropology, medicine and politics that will help to shape the
next generation of data science research in fake news. The main
target groups of this book are academic and industrial researchers
working in the area of data science, and with interests in devising
and applying data science technologies for fake news detection. For
young researchers such as PhD students, a review of data science
work on fake news is provided, equipping them with enough know-how
to start engaging in research within the area. For experienced
researchers, the detailed descriptions of approaches will enable
them to take seasoned choices in identifying promising directions
for future research.
This book provides an overview of fake news detection, both through
a variety of tutorial-style survey articles that capture
advancements in the field from various facets and in a somewhat
unique direction through expert perspectives from various
disciplines. The approach is based on the idea that advancing the
frontier on data science approaches for fake news is an
interdisciplinary effort, and that perspectives from domain experts
are crucial to shape the next generation of methods and tools. The
fake news challenge cuts across a number of data science subfields
such as graph analytics, mining of spatio-temporal data,
information retrieval, natural language processing, computer vision
and image processing, to name a few. This book will present a
number of tutorial-style surveys that summarize a range of recent
work in the field. In a unique feature, this book includes
perspective notes from experts in disciplines such as linguistics,
anthropology, medicine and politics that will help to shape the
next generation of data science research in fake news. The main
target groups of this book are academic and industrial researchers
working in the area of data science, and with interests in devising
and applying data science technologies for fake news detection. For
young researchers such as PhD students, a review of data science
work on fake news is provided, equipping them with enough know-how
to start engaging in research within the area. For experienced
researchers, the detailed descriptions of approaches will enable
them to take seasoned choices in identifying promising directions
for future research.
This book highlights research in linking and mining data from
across varied data sources. The authors focus on recent advances in
this burgeoning field of multi-source data fusion, with an emphasis
on exploratory and unsupervised data analysis, an area of
increasing significance with the pace of growth of data vastly
outpacing any chance of labeling them manually. The book looks at
the underlying algorithms and technologies that facilitate the area
within big data analytics, it covers their applications across
domains such as smarter transportation, social media, fake news
detection and enterprise search among others. This book enables
readers to understand a spectrum of advances in this emerging area,
and it will hopefully empower them to leverage and develop methods
in multi-source data fusion and analytics with applications to a
variety of scenarios. Includes advances on unsupervised,
semi-supervised and supervised approaches to heterogeneous data
linkage and fusion; Covers use cases of analytics over multi-view
and heterogeneous data from across a variety of domains such as
fake news, smarter transportation and social media, among others;
Provides a high-level overview of advances in this emerging field
and empowers the reader to explore novel applications and
methodologies that would enrich the field.
This book provides a comprehensive tutorial on similarity
operators. The authors systematically survey the set of similarity
operators, primarily focusing on their semantics, while also
touching upon mechanisms for processing them effectively. The book
starts off by providing introductory material on similarity search
systems, highlighting the central role of similarity operators in
such systems. This is followed by a systematic categorized overview
of the variety of similarity operators that have been proposed in
literature over the last two decades, including advanced operators
such as RkNN, Reverse k-Ranks, Skyline k-Groups and K-N-Match.
Since indexing is a core technology in the practical implementation
of similarity operators, various indexing mechanisms are
summarized. Finally, current research challenges are outlined, so
as to enable interested readers to identify potential directions
for future investigations. In summary, this book offers a
comprehensive overview of the field of similarity search operators,
allowing readers to understand the area of similarity operators as
it stands today, and in addition providing them with the background
needed to understand recent novel approaches.
Supercapacitors: Materials, Design, and Commercialization provides
a comprehensive overview of the latest research trends and
opportunities in supercapacitors, and particularly in terms of
novel materials and electrolytes.The book will address the
transformation in supercapacitive technology from double layer
capacitance to battery-type capacitance, providing a clear
understanding of the conceptual differences between various charge
storage processes for supercapacitors, charge storage based on
materials and electrolytes, and calculation for capacitance for
these charge processes. Detailed chapters discuss recent
developments in materials, such as carbons, chalcogenides, MXene
and phosphorene, various polymer nanocomposites, and
polyoxometalates for supercapacitors. This is followed by in-depth
coverage of electrolytes, including the evolution of electrolytes
from aqueous to water-in-salt electrolytes and their role in
improving the energy density of supercapacitors. The final part of
the book examines the role of artificial intelligence in the design
of supercapacitors, and latest developments in translating novel
supercapacitor technologies from laboratory-scale research to a
commercialization.This is a valuable resource for advanced
students, researchers, and scientists in the fields of energy
storage, electrical engineering, materials science, and chemical
engineering, as well as engineers and R&D personnel working
with supercapacitors or energy storage in an industrial setting.
This book comprises select proceedings of the 7th International
Conference on Data Science and Engineering (ICDSE 2021). The
contents of this book focus on responsible data science. This book
tries to integrate research across diverse topics related to data
science, such as fairness, trust, ethics, confidentiality,
transparency, and accuracy. The chapters in this book represent
research from different perspectives that offer novel theoretical
implications that span multiple disciplines. The book will serve as
a reference resource for researchers and practitioners in academia
and industry.
Metal Oxides in Supercapacitors addresses the fundamentals of metal
oxide-based supercapacitors and provides an overview of recent
advancements in this area. Metal oxides attract most of the
materials scientists use due to their excellent physico-chemical
properties and stability in electrochemical systems. This
justification for the usage of metal oxides as electrode materials
in supercapacitors is their potential to attain high capacitance at
low cost. After providing the principles, the heart of the book
discusses recent advances, including: binary metal oxides-based
supercapacitors, nanotechnology, ternary metal oxides,
polyoxometalates and hybrids. Moreover, the factors affecting the
charge storage mechanism of metal oxides are explored in detail.
The electrolytes, which are the soul of supercapacitors and a
mostly ignored character of investigations, are also exposed in
depth, as is the fabrication and design of supercapacitors and
their merits and demerits. Lastly, the market status of
supercapacitors and a discussion pointing out the future scope and
directions of next generation metal oxides based supercapacitors is
explored, making this a comprehensive book on the latest,
cutting-edge research in the field.
The Book gives insight into the ideal occlusion characteristics of
primary dentition and the prevalence of malocclusion in 4-6 year
old Indian children.The extensive literature survey in the book
will help one to compare the occlusion and malocclusion
characteristics of different ethnic/populations groups. This book
will sure to serve as a guide for the research scholars as well as
the graduate and post graduate students to pursue studies related
to occlusion characteristics of the primary dentition. Its an
excellent tool for those who are pursuing studies related to
occlusion, so that they can compare their results with the valid
statistically proven results of the book. This book is must for all
the post graduate students of Pediatric and Orthodontic branch of
dentistry.What more, It can be a valuable asset to the libraries
around the world.
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Glaucoma (Paperback)
Deepak P Edward, Thasarat S Vajaranant
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R2,944
Discovery Miles 29 440
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Ships in 10 - 15 working days
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Part of the Oxford American Ophthamology Library, this book
provides clear and detailed guidelines on the diagnosis and
treatment of glaucoma. Coverage spans the entire spectrum of
glaucoma, including descriptions of traditional and newly emerging
modalities available for glaucoma diagnosis and management.
Chapters discuss current imaging technology for glaucoma diagnosis
and monitoring, providing practical tips using case examples.
Management is also thoroughly addressed, from the treatment of
primary open angle glaucoma to management of complex secondary
glaucoma. Evidence-based management of glaucoma in different stages
of the disease is also discussed with highlights of the multicenter
glaucoma clinical trials.
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