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Books > Computing & IT > Applications of computing > Databases > General
The third edition of Database Principles maintains its engaging
writing style and brevity; its unique balance between theory and
practice; and its wealth of examples throughout the text. It
provides a solid and practical foundation for the design,
implementation and management of database systems. The new edition
has been updated with all the latest developments and technologies
and incorporates a generous number of localised and motivating
business vignettes that tie the concepts to real-life situations.
The coverage of SQL provides numerous examples and simpler
explanations that focus on areas most important for a database
career. This edition is suitable for a first course in databases at
undergraduate level and will also provide essential material for
conversion postgraduate courses. Providing comprehensive and
practical coverage of core database concepts, it is an ideal text
not only for those studying database management systems in the
context of computer science, but also those on courses in the areas
of information systems and business information technology.
Data mining is often referred to by real-time users and software
solutions providers as knowledge discovery in databases (KDD). Good
data mining practice for business intelligence (the art of turning
raw software into meaningful information) is demonstrated by the
many new techniques and developments in the conversion of fresh
scientific discovery into widely accessible software solutions.
This book has been written as an introduction to the main issues
associated with the basics of machine learning and the algorithms
used in data mining.
Suitable for advanced undergraduates and their tutors at
postgraduate level in a wide area of computer science and
technology topics as well as researchers looking to adapt various
algorithms for particular data mining tasks. A valuable addition to
the libraries and bookshelves of the many companies who are using
the principles of data mining (or KDD) to effectively deliver solid
business and industry solutions.
Provides an introduction to the main issues associated with the
basics of machine learning and the algorithms used in data miningA
valuable addition to the libraries and bookshelves of companies
using the principles of data mining (or KDD) to effectively deliver
solid business and industry solutions
The study and application of spatial information systems have been
developed primarily from the use of computers in the geosciences.
These systems have the principle functions of capturing, storing,
representing, manipulating, and displaying data in 2-D and 3-D
worlds. This book approaches its subject from the perspectives of
informatics and geography, presenting methods of conceptual
modeling developed in computer science that provide valuable aids
for resolving spatial problems. This book is an essential textbook
for both students and practitioners. It is indispensable for
academic geographers, computer scientists, and the GIS
professional.
Key Features
* Serves as the first comprehensive textbook on the field of
Spatial Information Systems (also known as Geographic Information
Systems)
* Contains extensive illustrations
* Presents numerous detailed examples
Database Solutions: A step-by-step guide to building databases
2/eAre you responsible for designing and creating the databases
that keep your business running? Or are you studying for a module
in database design? If so, Database Solutions is for you This fully
revised and updated edition will make the database design and build
process smoother, quicker and more reliable.Recipe for database
success Take one RDMS - any of the major commercial products will
do: Oracle, Informix, SQL Server, Access, Paradox Add one thorough
reading of Database Solutions if you are an inexperienced database
designer, or one recap of the methodology if you are an old hand
Use the design and implementation frameworks to plan your
timetable, use a common data model that fits your requirements and
adapt as necessaryFeatures Includes hints and tips for success with
comprehensive guidance on avoiding pitfalls and traps Shows how to
create data models using the UML design notation Includes two
full-length coded example databases written on Microsoft Access
2002 and Oracle 9i, plus 15 sample data models to adapt to your
needs, chosen from seven common business areasNew for this edition
New chapters on SQL (St
CompTIA (R) Data+ DA0-001 Exam Cram is an all-inclusive study guide
designed to help you pass the CompTIA Data+ DA0-001 exam. Prepare
for test day success with complete coverage of exam objectives and
topics, plus hundreds of realistic practice questions. Extensive
prep tools include quizzes, Exam Alerts, and our essential
last-minute review CramSheet. The powerful Pearson Test Prep
practice software provides real-time assessment and feedback with
two complete exams. Covers the critical information needed to score
higher on your Data+ DA0-001 exam! Understand data concepts,
environments, mining, analysis, visualization, governance, quality,
and controls Work with databases, data warehouses, database
schemas, dimensions, data types, structures, and file formats
Acquire data and understand how it can be monetized Clean and
profile data so it;s more accurate, consistent, and useful Review
essential techniques for manipulating and querying data Explore
essential tools and techniques of modern data analytics Understand
both descriptive and inferential statistical methods Get started
with data visualization, reporting, and dashboards Leverage charts,
graphs, and reports for data-driven decision-making Learn important
data governance concepts
For Database Systems and Database Design and Application courses
offered at the junior, senior and graduate levels in Computer
Science departments. Written by well-known computer scientists,
this introduction to database systems offers a comprehensive
approach, focusing on database design, database use, and
implementation of database applications and database management
systems. The first half of the book provides in-depth coverage of
databases from the point of view of the database designer, user,
and application programmer. It covers the latest database standards
SQL:1999, SQL/PSM, SQL/CLI, JDBC, ODL, and XML, with broader
coverage of SQL than most other texts. The second half of the book
provides in-depth coverage of databases from the point of view of
the DBMS implementor. It focuses on storage structures, query
processing, and transaction management. The book covers the main
techniques in these areas with broader coverage of query
optimisation than most other texts, along with advanced topics
including multidimensional and bitmap indexes, distributed
transactions, and information integration techniques.
There has been a multitude of studies focused on the COVID-19
pandemic across fields and disciplines as all sectors of life have
had to adjust the way things are done and adapt to the constantly
shifting environment. These studies are crucial as they provide
support and perspectives on how things are changing and what needs
to be done to stay afloat. Connecting COVID-19-related studies and
big data analytics is crucial for the advancement of industrial
applications and research areas. Applied Big Data Analytics and Its
Role in COVID-19 Research introduces the most recent industrial
applications and research topics on COVID-19 with big data
analytics. Featuring coverage on a broad range of big data
technologies such as data gathering, artificial intelligence, smart
diagnostics, and mining mobility, this publication provides
concrete examples and cases of usage of data-driven projects in
COVID-19 research. This reference work is a vital resource for data
scientists, technical managers, researchers, scholars,
practitioners, academicians, instructors, and students.
Developing new approaches and reliable enabling technologies in the
healthcare industry is needed to enhance our overall quality of
life and lead to a healthier, innovative, and secure society.
Further study is required to ensure these current technologies,
such as big data analytics and artificial intelligence, are
utilized to their utmost potential and are appropriately applied to
advance society. Big Data Analytics and Artificial Intelligence in
the Healthcare Industry discusses technologies and emerging topics
regarding reliable and innovative solutions applied to the
healthcare industry and considers various applications, challenges,
and issues of big data and artificial intelligence for enhancing
our quality of life. Covering a range of topics such as electronic
health records, machine learning, and e-health, this reference work
is ideal for healthcare professionals, computer scientists, data
analysts, researchers, practitioners, scholars, academicians,
instructors, and students.
Blockchain and artificial intelligence (AI) in industrial internet
of things is an emerging field of research at the intersection of
information science, computer science, and electronics engineering.
The radical digitization of industry coupled with the explosion of
the internet of things (IoT) has set up a paradigm shift for
industrial and manufacturing companies. There exists a need for a
comprehensive collection of original research of the best
performing methods and state-of-the-art approaches in this area of
blockchain, AI, and the industrial internet of things in this new
era for industrial and manufacturing companies. Blockchain and AI
Technology in the Industrial Internet of Things compares different
approaches to the industrial internet of things and explores the
direct impact blockchain and AI technology have on the betterment
of the human life. The chapters provide the latest advances in the
field and provide insights and concerns on the concept and growth
of the industrial internet of things. While including research on
security and privacy, supply chain management systems, performance
analysis, and a variety of industries, this book is ideal for
professionals, researchers, managers, technologists, security
analysts, executives, practitioners, researchers, academicians, and
students looking for advanced research and information on the
newest technologies, advances, and approaches for blockchain and AI
in the industrial internet of things.
Blockchain is the most disruptive technology to emerge in the last
decade. The evolution of cryptocurrencies has carried with it a
revolution in digital economics that has catapulted the application
of blockchain technology to a new level across a variety of
industries, including banking, security, networking, and more.
Blockchain Technology and Computational Excellence for Society 5.0
closes the gap in existing literature by presenting a selection of
chapters that not only shape the research domain, but also present
supportive real-life problems and pragmatic solutions. This book
presents a variety of highly relevant themes, concepts, and
applications in blockchain, discussing topics such as cyber
security, digital currencies, and intelligent networks, fueling
awareness and interest. With its insight into various platforms,
techniques, and tools, this book serves as a valuable resource for
academicians, researchers, research scholars, postgraduates,
professors, computer scientists, and technology enthusiasts.
The security of an organizational information system with the
invention of next-generation technologies is a prime focus these
days. The industries and institutions in the field of computing and
communication, especially in internet of things, cloud computing,
mobile networks, next-generation networks, the energy market,
banking sector, government sector, and many more, are primarily
focused on these security and privacy issues. Blockchain is a new
technology that has changed the scenario when it comes to
addressing security concerns and resolving traditional safety
issues. These industries have started developing applications based
on the blockchain underlying platform to tap into this unlimited
potential. Blockchain technologies have a great future, but there
are still many challenges and issues to resolve for optimal design
and utilization of the technology. Revolutionary Applications of
Blockchain-Enabled Privacy and Access Control focuses on the recent
challenges, design, and issues in the field of blockchain
technologies-enabled privacy and advanced security practices in
computing and communication. This book provides the latest research
findings, solutions, and relevant theoretical frameworks in
blockchain technologies, information security, and privacy in
computing and communication. While highlighting the technology
itself along with its applications and future outlook, this book is
ideal for IT specialists, security analysts, cybersecurity
professionals, researchers, academicians, students, scientists, and
IT sector industry practitioners looking for research exposure and
new ideas in the field of blockchain.
Communication based on the internet of things (IoT) generates huge
amounts of data from sensors over time, which opens a wide range of
applications and areas for researchers. The application of
analytics, machine learning, and deep learning techniques over such
a large volume of data is a very challenging task. Therefore, it is
essential to find patterns, retrieve novel insights, and predict
future behavior using this large amount of sensory data. Artificial
intelligence (AI) has an important role in facilitating analytics
and learning in the IoT devices. Applying AI-Based IoT Systems to
Simulation-Based Information Retrieval provides relevant frameworks
and the latest empirical research findings in the area. It is ideal
for professionals who wish to improve their understanding of the
strategic role of trust at different levels of the information and
knowledge society and trust at the levels of the global economy,
networks and organizations, teams and work groups, information
systems, and individuals as actors in the networked environments.
Covering topics such as blockchain visualization, computer-aided
drug discovery, and health monitoring, this premier reference
source is an excellent resource for business leaders and
executives, IT managers, security professionals, data scientists,
students and faculty of higher education, librarians, hospital
administrators, researchers, and academicians.
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