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Books > Computing & IT
Though traditionally information systems have been centralized,
these systems are now distributed over the web. This requires a
re-investigation into the way information systems are modeled and
designed. Because of this new function, critical problems,
including security, never-fail systems, and quality of service have
begun to emerge. Novel Approaches to Information Systems Design is
an essential publication that explores the most recent,
cutting-edge research in information systems and exposes the reader
to emerging but relatively mature models and techniques in the
area. Highlighting a wide range of topics such as big data,
business intelligence, and energy efficiency, this publication is
ideally designed for managers, administrators, system developers,
information system engineers, researchers, academicians, and
graduate-level students seeking coverage on critical components of
information systems.
The representation of abstract data and ideas can be a difficult
and tedious task to handle when learning new concepts; however, the
advances in emerging technology have allowed for new methods of
representing such conceptual data. Information Visualization
Techniques in the Social Sciences and Humanities is a critical
scholarly resource that examines the application of information
visualization in the social sciences and humanities. Featuring
coverage on a broad range of topics such as social network
analysis, complex systems, and visualization aesthetics, this book
is geared towards professionals, students, and researchers seeking
current research on information visualization.
Human computer interaction is constantly evolving in many areas and
facets of modern society. Analyzing these interactions can provide
a more balanced understanding of these technological advances as
they pertain to people's lives. Experience-Based Human-Computer
Interactions: Emerging Research and Opportunities is a pivotal
reference source that provides in-depth discussions on the
progression and contemporary applications of human computer
interaction. Highlighting relevant topic areas such as semantic
support, software intensive systems, ontology applications, and
conceptual objects, this publication is ideal for engineers,
academicians, students, and researchers that would like to attain
more information on recent advances being made to bridge the gap
between human and computer interactions.
Information Security and Ethics: Social and Organizational Issues
brings together examples of the latest research from a number of
international scholars addressing a wide range of issues
significant to this important and growing field of study. These
issues are relevant to the wider society, as well as to the
individual, citizen, educator, student and industry professional.
With individual chapters focusing on areas including web
accessibility; the digital divide; youth protection and
surveillance; Information security; education; ethics in the
Information professions and Internet voting; this book provides an
invaluable resource for students, scholars and professionals
currently working in information Technology related areas.
With exponentially increasing amounts of data accumulating in
real-time, there is no reason why one should not turn data into a
competitive advantage. While machine learning, driven by
advancements in artificial intelligence, has made great strides, it
has not been able to surpass a number of challenges that still
prevail in the way of better success. Such limitations as the lack
of better methods, deeper understanding of problems, and advanced
tools are hindering progress. Challenges and Applications of Data
Analytics in Social Perspectives provides innovative insights into
the prevailing challenges in data analytics and its application on
social media and focuses on various machine learning and deep
learning techniques in improving practice and research. The content
within this publication examines topics that include collaborative
filtering, data visualization, and edge computing. It provides
research ideal for data scientists, data analysts, IT specialists,
website designers, e-commerce professionals, government officials,
software engineers, social media analysts, industry professionals,
academicians, researchers, and students.
Uncovering and analyzing data associated with the current business
environment is essential in maintaining a competitive edge. As
such, making informed decisions based on this data is crucial to
managers across industries. Integration of Data Mining in Business
Intelligence Systems investigates the incorporation of data mining
into business technologies used in the decision making process.
Emphasizing cutting-edge research and relevant concepts in data
discovery and analysis, this book is a comprehensive reference
source for policymakers, academicians, researchers, students,
technology developers, and professionals interested in the
application of data mining techniques and practices in business
information systems.
In a world dependent on digital technologies, business corporations
continually try to stay ahead of their competitors by adopting the
most updated technology into their business processes. Many
companies are adopting digital transformation models, data
analytics, big data, data empowerment, and data sharing as key
strategies and as service disruptors for information delivery and
record management. Higher education institutions have adopted
digital service innovation as a core to driving their business
processes. Such services are key to ensuring efficiency and
improving organizational performance. Digital Transformation and
Innovative Services for Business and Learning is a collection of
innovative research on the latest digital services and their role
in supporting the digital transformation of businesses and
education. While highlighting topics including brand equality,
digital banking, and generational workforce, this book is ideally
designed for managers, executives, IT consultants, industry
professionals, academicians, researchers, and students.
Big Data analytics is the complex process of examining big data to
uncover information such as correlations, hidden patterns, trends
and user and customer preferences, to allow organizations and
businesses to make more informed decisions. These methods and
technologies have become ubiquitous in all fields of science,
engineering, business and management due to the rise of data-driven
models as well as data engineering developments using parallel and
distributed computational analytics frameworks, data and algorithm
parallelization, and GPGPU programming. However, there remain
potential issues that need to be addressed to enable big data
processing and analytics in real time. In the first volume of this
comprehensive two-volume handbook, the authors present several
methodologies to support Big Data analytics including database
management, processing frameworks and architectures, data lakes,
query optimization strategies, towards real-time data processing,
data stream analytics, Fog and Edge computing, and Artificial
Intelligence and Big Data. The second volume is dedicated to a wide
range of applications in secure data storage, privacy-preserving,
Software Defined Networks (SDN), Internet of Things (IoTs),
behaviour analytics, traffic predictions, gender based
classification on e-commerce data, recommender systems, Big Data
regression with Apache Spark, visual sentiment analysis, wavelet
Neural Network via GPU, stock market movement predictions, and
financial reporting. The two-volume work is aimed at providing a
unique platform for researchers, engineers, developers, educators
and advanced students in the field of Big Data analytics.
This book presents research on recent developments in collective
decision-making. With contributions from leading scholars from a
variety of disciplines, it provides an up-to-date overview of
applications in social choice theory, welfare economics, and
industrial organization. The contributions address, amongst others,
topics such as measuring power, the manipulability of collective
decisions, and experimental approaches. Applications range from
analysis of the complicated institutional rules of the European
Union to responsibility-based allocation of cartel
damages or the design of webpage rankings. With its
interdisciplinary focus, the book seeks to bridge the gap between
different disciplinary approaches by pointing to open questions
that can only be resolved through collaborative efforts.
Modern businesses are on the lookout for ventures that boost their
profits and marketability. Certain new and innovative technological
advances can help enterprises accomplish their ambitious goals
while providing detailed information to assess all aspects of the
business. Global Virtual Enterprises in Cloud Computing
Environments is a collection of innovative studies on business
processes, procedures, methods, strategy, management thinking, and
utilization of technology in cloud computing environments. While
highlighting topics including international business strategy,
virtual reality, and intellectual capital, this book is ideally
designed for corporate executives, research scholars, and students
pursuing courses in the areas of management and big data
applications seeking current research on effective open innovation
strategies in global business.
The lead singer on Supercell's eponymous first album is Hatsune
Miku-a Vocaloid character created by Crypton Future Media with
voice synthesizers. A virtual superstar, over 100,000 songs,
uploaded mostly by fans, are attributed to her. Supercell is a
Japanese creator music group with the composer Ryo leading ten
artists, who design album illustrations and make music videos.
These videos are uploaded onto Niconico and other video-sharing
sites. By the time Supercell was released in March 2009, the
group's Vocaloid works were already well-known to Niconico users
and fans. This book explores the Vocaloid and DTM (desktop music)
phenomena through the lenses of media and fan studies, looking
closely at online social media platforms, the new technology for
composing, avid fans of the Vocaloid character, and these fans'
performative practices. It provides a sense of how interactive new
media and an empowered fan base combine to engage in the creation
processes and enhance the circulation of DTM works. 33 1/3 Global,
a series related to but independent from 33 1/3, takes the format
of the original series of short, music-basedbooks and brings the
focus to music throughout the world. With initial volumes focusing
on Japanese and Brazilian music, the series will also include
volumes on the popular music of Australia/Oceania, Europe, Africa,
the Middle East, and more.
Mobile Sensors and Context-Aware Computing is a useful guide that
explains how hardware, software, sensors, and operating systems
converge to create a new generation of context-aware mobile
applications. This cohesive guide to the mobile computing landscape
demonstrates innovative mobile and sensor solutions for platforms
that deliver enhanced, personalized user experiences, with examples
including the fast-growing domains of mobile health and vehicular
networking. Users will learn how the convergence of mobile and
sensors facilitates cyber-physical systems and the Internet of
Things, and how applications which directly interact with the
physical world are becoming more and more compatible. The authors
cover both the platform components and key issues of security,
privacy, power management, and wireless interaction with other
systems.
Though humans have been communicating through virtual mediators
since the invention of the telephone, new technologies make the use
of virtual communications even more immediate and pervasive than
ever before. By understanding the theories and models behind
virtual communication, one can understand the way society has been
changed and how it will continue to do so. Analyzing Digital
Discourse and Human Behavior in Modern Virtual Environments
examines the implications of virtual communication and online
interaction and the theories and trends associated with them. It
will discuss and address the differences and challenges that
develop when communicating virtually and explore the various
influences virtual communication plays in work, education, and
quotidian life. This title provides a foundation of emerging trends
from which new theories and models of communication can grow. This
book will become a cherished resource for academics, researchers,
technology developers, students, and government or institutional
leaders.
As the world has entered the era of big data, there is a need to
give a semantic perspective to the data to find unseen patterns,
derive meaningful information, and make intelligent decisions. This
2-volume handbook set is a unique, comprehensive, and complete
presentation of the current progress and future potential
explorations in the field of data science and related topics.
Handbook of Data Science with Semantic Technologies provides a
roadmap for a new trend and future development of data science with
semantic technologies. The first volume serves as an important
guide towards applications of data science with semantic
technologies for the upcoming generation and thus becomes a unique
resource for both academic researchers and industry professionals.
The second volume provides a roadmap for the deployment of semantic
technologies in the field of data science that enables users to
create intelligence through these technologies by exploring the
opportunities while eradicating the current and future challenges.
The set explores the optimal use of these technologies to provide
the maximum benefit to the user under one comprehensive source.
This set consisting of two separate volumes can be utilized
independently or together as an invaluable resource for students,
scholars, researchers, professionals, and practitioners in the
field.
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