Teaching Data Literacy in Social Studies

Tamara L. Shreiner

• Format: Paperback
• ISBN: 9780807786260
• Publication Date: Aug 2024
• Availability: Not Yet Available - Pre-Order Now

Recent Trends and Future Direction for Data Analytics

Aparna Kumari

In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential. Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence.

• Format: Hardback
• ISBN: 9798369336090
• Publication Date: Jul 2024
• Availability: Not Yet Available - Pre-Order Now

Digital Literacy at the Intersection of Equity, Inclusion, and Technology

Katelyn Burton Prager

At the forefront of contemporary higher education lies a need for a profound exploration of the relationships between equity, inclusion, and digital technologies. Across diverse disciplines, students and faculty grapple with the far-reaching impacts of this complex interplay. As our educational landscape transforms at an unprecedented pace, a national and global imperative emerges — the necessity for a deeper understanding of the challenges posed by digital technologies. In response to this call, the book titled Digital Literacy at the Intersection of Equity, Inclusion, and Technology serves as a resource to help educators. This book seeks to unravel the issues that permeate the educational sphere, fostering broader multidisciplinary conversations. It is a pivotal resource designed to empower teacher-scholars as they navigate the swiftly evolving terrain of the digital age. The primary objective of this text is to examine the intersection of equity/inclusion and digital pedagogies. It embarks on a journey to explore how educators can harness the power of technology to create learning environments that are inherently equitable, both online and offline. Not merely theoretical, this book is a blend of insightful theoretical chapters on equitable digital pedagogies and a wealth of practical materials, including assignments, syllabi, and course/program designs. This compilation is a compass for teacher-scholars navigating the nuanced terrain of leveraging technology to foster thoughtful digital citizens, merging theory with actionable strategies.

• Format: Hardback
• ISBN: 9798369325919
• Publication Date: Jun 2024
• Availability: Not Yet Available - Pre-Order Now

Cutting-Edge Techniques for Effective Data Mining and Machine Learning

Kenwright

In the dynamic realm of data mining and machine learning, staying ahead requires more than just knowledge—it demands understanding the latest advancements, practical applications, ethical considerations, and future trends. The gap between theory and practice poses a challenge, and the potential biases, privacy concerns, and lack of interpretability in algorithms further complicate matters. Cutting-Edge Techniques for Effective Data Mining and Machine Learning delves into the algorithms of data-driven decision-making, gaining an understanding of the methodologies propelling the field forward. This book bridges theoretical concepts and practical applications, offering a holistic perspective that connects the theoretical underpinnings of advanced algorithms with their tangible impact on real-world scenarios. This book emphasizes cross-disciplinary collaboration, and features contributions from diverse industries and disciplines. These diverse voices dive into how data mining and machine learning transcend conventional boundaries, fostering innovation and insights across sectors. Ethical considerations are at the forefront, addressing potential biases, privacy concerns, and fairness issues inherent in these technologies. The book sheds light on these challenges and presents strategies for responsible artificial intelligence (AI) practices. This book is ideal for researchers, practitioners, educators, and students.

• Format: Hardback
• ISBN: 9798369316061
• Publication Date: Jun 2024
• Availability: Not Yet Available - Pre-Order Now

AI Techniques for Multimedia Data Processing

Ahmed A. Abd El-Latif

Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. In the landscape of technology, the relationship between AI and multimedia unfolds with unprecedented innovation, accompanied by formidable ethical concerns and data management complexities. As society immerses itself in the digital age, marked by a flood of multimedia content, the urgent need to grapple with these multifaceted issues becomes apparent. This transformative journey into the heart of contemporary technological challenges is guided by the insights within. The book, AI Techniques for Multimedia Data Processing , serves as an indispensable resource, unraveling the layers of complexity within the symbiotic relationship between AI and multimedia. Within the pages of AI Techniques for Multimedia Data Processing , readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. This transformative journey navigates the terrain where ethical concerns meet practical applications, providing a profound understanding of how AI reshapes our interaction with multimedia content. As the chapters unfold, addressing challenges from video compression and streaming to multimedia recognition, segmentation, and content classification, readers are equipped with the knowledge needed to responsibly harness the transformative potential of AI in the realm of multimedia data processing.

• Format: Hardback
• ISBN: 9798369329351
• Publication Date: Jun 2024
• Availability: Not Yet Available - Pre-Order Now

Real-World Challenges in Quantum Electronics and Machine Computing

Christo Ananth

Quantum computers are unparalleled in terms of computational power, and they have a multitude of promising applications. However, these computers are prone to noise and instability caused by environmental interactions, making the use of these advanced machines rather impractical in most scenarios. Despite these challenges, Real-World Challenges in Quantum Electronics and Machine Computing provides innovative solutions to navigate the complexities of quantum computation, thus offering hope during this time of turbulence. By delving into the intricacies of quantum electronics and machine computing, this book equips readers with the tools to overcome the hurdles obstructing the path to practical quantum computing. It serves as a roadmap for students, practitioners, and professionals, guiding them through the intricacies of error correction techniques and hardware development. With its comprehensive coverage of cutting-edge topics and innovative solutions, the book empowers readers to tackle the most pressing challenges facing the quantum computing landscape. As researchers and engineers strive to unlock the full potential of quantum computation, this book stands as an indispensable resource, guiding them toward a future where quantum computing transcends the realm of theory and becomes a tangible reality.

• Format: Hardback
• ISBN: 9798369340011
• Publication Date: Jun 2024
• Availability: Not Yet Available - Pre-Order Now

Technology-Driven Evolution of the Corporate Social Responsibility Ecosystem

Kuldeep Singh

In the field of Corporate Social Responsibility (CSR) and sustainability, a profound challenge emerges — the intersection of traditional practices with the relentless march of technology. Companies face a pressing dilemma as they navigate mandatory and voluntary CSR requirements, grapple with stakeholder demands, and strive for transparency in a digitally-driven era. The relationship between technology and CSR has become a pivotal concern, affecting compliance, monitoring, reporting, and ultimately, the very fabric of corporate reputation. This challenge calls for a nuanced understanding, and it is precisely this void that the book, Technology-Driven Evolution of the Corporate Social Responsibility Ecosystem , aims to fill. The central predicament lies in the dynamic evolution of CSR practices against the backdrop of technological advancements. As companies seek to balance mandatory and voluntary CSR initiatives, the landscape is fraught with complexities. Stakeholders, armed with technology, demand accountability, and transparency, pressuring companies to adapt swiftly. The challenge extends to the need for effective reporting, maintaining social legitimacy, and navigating the intricacies of CSR governance in a rapidly digitizing world. The traditional norms of CSR are being reshaped, requiring businesses to not only comprehend but also harness technology to align with societal expectations and environmental imperatives.

• Format: Hardback
• ISBN: 9798369332382
• Publication Date: Jun 2024
• Availability: Not Yet Available - Pre-Order Now

Practical Applications of Data Processing, Algorithms, and Modeling

Pawan Whig

In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling . This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights.

• Format: Hardback
• ISBN: 9798369329092
• Publication Date: Jun 2024
• Availability: Not Yet Available - Pre-Order Now

Information Technology Project Management

Robert Martirosyan

• Format: Paperback
• ISBN: 9781774697474
• Publication Date: May 2024
• Availability: Not Yet Available - Pre-Order Now

Big Data Quantification for Complex Decision-Making

Chao Zhang

Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data have ushered in a shift, demanding innovative methodologies and frameworks. Big Data Quantification for Complex Decision-Making tackles this challenge head-on, offering a comprehensive exploration of the tools necessary to distill valuable insights from datasets. This book serves as a tool for professionals, researchers, and students, empowering them to not only comprehend the significance of big data in decision-making but also to translate this understanding into real-world decision making. The central objective of the book is to examine the relationship between big data and decision-making. It strives to address multiple objectives, including understanding the intricacies of big data in decision-making, navigating methodological nuances, managing uncertainty adeptly, and bridging theoretical foundations with real-world applications. The book's core aspiration is to provide readers with a comprehensive toolbox, seamlessly integrating theoretical frameworks, practical applications, and forward-thinking perspectives. This equips readers with the means to effectively navigate the data-rich landscape of modern decision-making, fostering a heightened comprehension of strategic big data utilization. Tailored for a diverse audience, this book caters to researchers and academics in data science, decision science, machine learning, artificial intelligence, and related domains.

• Format: Hardback
• ISBN: 9798369315828
• Publication Date: May 2024
• Availability: In Stock - Despatched Within 5 Working Days

Fundamentals of Database Systems

Kaitlyn Salter

• Format: Paperback
• ISBN: 9781774697580
• Publication Date: May 2024
• Availability: Not Yet Available - Pre-Order Now

Python for Engineering and Scientific Computing

Veit Steinkamp

• Format: Paperback
• ISBN: 9781493225590
• Publication Date: Apr 2024
• Availability: Temporarily out of stock: Usually despatched in 14-18 days

Utilizing Visuals and Information Technology in Mathematics Classrooms

Hiroto Namihira

Academic scholars face a difficult challenge when attempting to grasp the intricate world of mathematics. The complexity of mathematical concepts often lies hidden beneath layers of formulas and procedures, obscuring their true essence. Traditional educational resources often fall short in conveying the profound meaning behind these concepts, leaving students and scholars feeling overwhelmed and irritated. Furthermore, the integration of information technology (IT) with mathematics remains an under explored frontier, preventing the development of logical insights from arbitrary initial conditions. As a result, there is an urgent need for a solution that can bridge these gaps and offer an innovative approach to learning mathematics. Utilizing Visuals and Information Technology in Mathematics Classrooms is a comprehensive and innovative solution to the challenges faced by academic scholars in the field of mathematics. This book takes a bold step in addressing these issues by offering a unique approach – visualization. By harnessing the power of visual representation, we transform complex mathematical concepts into easily understandable images, making the transition from initial states to final states of these crucial ideas visually intuitive. Utilizing Visuals and Information Technology in Mathematics Classrooms not only simplifies the learning process but also sets the stage for a paradigm shift by effectively merging education and IT, creating a forward-thinking approach that is poised to reshape the world of academia.

• Format: Hardback
• ISBN: 9781668499870
• Publication Date: Apr 2024
• Availability: Not Yet Available - Pre-Order Now

Creating and Sustaining an Information Governance Program

Kris Helge

We live in an era defined by data proliferation and digital transformation, and the effective management of information has become a concern for organizations across the globe. Creating and Sustaining an Information Governance Program is a comprehensive academic guide that delves into the intricate realm of Information Governance (IG), focusing on the key components and strategies essential for establishing and perpetuating a robust IG program. This book elucidates the intricacies of establishing and nurturing an information governance program, and it equips readers with the knowledge and tools to navigate the challenges and opportunities inherent in this endeavor. It delves into the cultural shifts, communication strategies, and training methods necessary for success. It emphasizes the vital importance of collaboration across organizational silos, the cultivation of administrative support, securing appropriate funding, and educating stakeholders on the purpose and benefits of an IG program. This book is ideal for individuals across academia, corporate sectors, government agencies, and for-profit and not-for-profit organizations. Its insights are universally applicable, spanning industries such as law firms, general corporate environments, government entities, educational institutions, and businesses of all sizes. Creating and Sustaining an Information Governance Program guides organizations of all stripes toward effective information governance, compliance, and risk mitigation in a data-centric world.

• Format: Hardback
• ISBN: 9798369304723
• Publication Date: Apr 2024
• Availability: Not Yet Available - Pre-Order Now

Critical Approaches to Data Engineering Systems and Analysis

Abhijit Bora

The current data engineering demands more than theoretical understanding; it necessitates a practical, nuanced approach. Data engineering involves the intricate orchestration of systems and architectural frameworks for collecting, storing, processing, and analyzing vast datasets. The challenge lies in ensuring this data is managed and harnessed effectively, fostering insightful knowledge and steering organizations toward data-driven decision-making. Critical Approaches to Data Engineering Systems and Analysis unveils the latent potential inherent in diverse data analysis and engineering techniques. It combines compelling perspectives, guidelines, and frameworks, applying statistical and mathematical models. As industries and research communities witness increasing demand for web-based systems, software modules, heuristic models, and survey analysis, the book emphasizes the critical methodologies associated with data verification, reliability, fault tolerance, and viability.

• Format: Hardback
• ISBN: 9798369322604
• Publication Date: Apr 2024
• Availability: In Stock - Despatched Within 5 Working Days

Emerging Perspectives in Systems Security Engineering, Data Science, and Artificial Intelligence

Maurice Dawson

The global society has continued down a path of more connected devices, resulting in an explosion of data and endless possibilities, such as the rise of artificial intelligence (AI). In turn, this has changed the threat landscape, and this must be secured differently and managed constructively. The use of data science and AI could allow for more secure networks and systems but, at the same time, be used to undermine these connected environments. Emerging Perspectives in Systems Security Engineering, Data Science, and Artificial Intelligence addresses emerging perspectives in systems security engineering, data science, and AI. Covering topics such as business resilience, IoT malware detection, and supply chain cyber security, this premier reference source is an excellent resource for computer scientists, security experts, IT managers, data scientists, students and educators of higher education, librarians, researchers, and academicians.

• Format: Hardback
• ISBN: 9781668463253
• Publication Date: Apr 2024
• Availability: Not Yet Available - Pre-Order Now

Industry Applications of Thrust Manufacturing

D. Satishkumar

In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability. Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.

• Format: Hardback
• ISBN: 9798369342763
• Publication Date: Apr 2024
• Availability: In Stock - Despatched Within 5 Working Days

Machine Learning and Data Science Techniques for Effective Government Service Delivery

Olalekan Samuel Ogunleye

In our data-rich era, extracting meaningful insights from the vast amount of information has become a crucial challenge, especially in government service delivery where informed decisions are paramount. Traditional approaches struggle with the enormity of data, highlighting the need for a new approach that integrates data science and machine learning. The book, Machine Learning and Data Science Techniques for Effective Government Service Delivery , becomes a vital resource in this transformation, offering a deep understanding of these technologies and their applications. Within the complex landscape of modern governance, this book stands as a solution-oriented guide. Recognizing data's value in the 21st century, it navigates the world of data science and machine learning, enhancing the mechanics of government service. By addressing citizens' evolving needs, these advanced methods counter inefficiencies in traditional systems. Tailored for experts across technology, academia, and government, the book bridges theory and practicality. Covering foundational concepts and innovative applications, it explores the potential of data-driven decision-making for a more efficient and citizen-centric government future.

• Format: Hardback
• ISBN: 9781668497166
• Publication Date: Apr 2024
• Availability: In Stock - Despatched Within 5 Working Days

Semantic Web Technologies and Applications in Artificial Intelligence of Things

Ortiz-Rodriguez

The confluence of Artificial Intelligence of Things (AIoT) and Semantic Web technologies is nothing short of revolutionary. The profound impact of this synergy extends far beyond the realms of industry, research, and society; it shapes the very fabric of our future. Semantic Web Technologies and Applications in Artificial Intelligence of Things is a meticulously crafted reference that not only acknowledges this significance but also serves as a guide for those navigating the complexities of Industry 4.0 and AIoT. This curated compendium of cutting-edge technologies acts as a veritable knowledge base for future developments. As academics, scholars, and industry professionals, the ideal audience of this book, will find meticulously curated content that caters to their diverse interests and expertise, covering topics ranging from smart agriculture, manufacturing, industry, health sciences, and government. Seasoned academics, students, and visionary industry leaders, will find this book to be an indispensable guide that paves the way for innovation and progress.

• Format: Hardback
• ISBN: 9798369314876
• Publication Date: Apr 2024
• Availability: Not Yet Available - Pre-Order Now

Applications of Synthetic High Dimensional Data

Marzena Sobczak-Michalowska

The need for tailored data for machine learning models is often unsatisfied, as it is considered too much of a risk in the real-world context. Synthetic data, an algorithmically birthed counterpart to operational data, is the linchpin for overcoming constraints associated with sensitive or regulated information. In high-dimensional data, where the dimensions of features and variables often surpass the number of available observations, the emergence of synthetic data heralds a transformation. Applications of Synthetic High Dimensional Data delves into the algorithms and applications underpinning the creation of synthetic data, which surpass the capabilities of authentic datasets in many cases. Beyond mere mimicry, synthetic data takes center stage in prioritizing the mathematical domain, becoming the crucible for training robust machine learning models. It serves not only as a simulation but also as a theoretical entity, permitting the consideration of unforeseen variables and facilitating fundamental problem-solving. This book navigates the multifaceted advantages of synthetic data, illuminating its role in protecting the privacy and confidentiality of authentic data. It also underscores the controlled generation of synthetic data as a mechanism to safeguard private information while maintaining a controlled resemblance to real-world datasets. This controlled generation ensures the preservation of privacy and facilitates learning across datasets, which is crucial when dealing with incomplete, scarce, or biased data. Ideal for researchers, professors, practitioners, faculty members, students, and online readers, this book transcends theoretical discourse.

• Format: Hardback
• ISBN: 9798369318867
• Publication Date: Apr 2024
• Availability: In Stock - Despatched Within 5 Working Days