Recent Trends And Future Direction For Data Analytics
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Recent Trends And Future Direction For Data Analytics
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Author : Kumari, Aparna
language : en
Publisher: IGI Global
Release Date : 2024-05-14
Recent Trends And Future Direction For Data Analytics written by Kumari, Aparna and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Computers categories.
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.
Exploring Explainable Iot Recent Trends Challenges And Future Directions
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Author : Dr. Omkar Singh
language : en
Publisher: Crown Publishing
Release Date : 2025-05-20
Exploring Explainable Iot Recent Trends Challenges And Future Directions written by Dr. Omkar Singh and has been published by Crown Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Business & Economics categories.
Exploring Explainable IoT: Recent Trends, Challenges, and Future Directions offers an in-depth exploration of the emerging field of explainability within the Internet of Things (IoT) landscape. As IoT systems become more intelligent and autonomous—integrating AI and machine learning for tasks such as smart decision-making, automation, and real-time analytics—the demand for transparency and interpretability has grown significantly. This book provides a comprehensive overview of the latest developments in Explainable IoT, addressing how explainability can enhance trust, accountability, and human understanding in complex, data-driven environments. It examines the current trends driving research and innovation, from edge-based explainable models to user-centric design, while also confronting critical challenges such as the trade-off between model accuracy and interpretability, limited computational resources on IoT devices, and data privacy concerns. The book brings together interdisciplinary perspectives, combining insights from artificial intelligence, human-computer interaction, embedded systems, and cloud-edge computing to propose novel frameworks and architectures for building more transparent IoT solutions. It also outlines promising future directions, including the role of explainability in ethical AI, regulatory frameworks, and adaptive systems that learn and explain in real-time. Aimed at researchers, practitioners, and students, this book serves as both a foundational resource and a forward-looking guide for developing explainable and trustworthy IoT technologies across a range of application domains.
Proceedings Of 5th International Conference On Recent Trends In Machine Learning Iot Smart Cities And Applications
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2025-02-25
Proceedings Of 5th International Conference On Recent Trends In Machine Learning Iot Smart Cities And Applications written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Technology & Engineering categories.
This book contains original, peer-reviewed research articles from the 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, held in Hyderabad, India on 28–29 March 2024. It includes the most recent research trends and advancements in machine learning, smart cities, IoT, AI, cyber-physical systems, cybernetics, data science, neural networks, and cognition. This book addresses the comprehensive nature of AI, ML, and DL to highlight its role in the modelling, identification, optimisation, prediction, forecasting, and control of future intelligent systems.
Quality And Reliability Engineering Recent Trends And Future Directions
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Author : Boby John
language : en
Publisher: Allied Publishers
Release Date : 2013-04-16
Quality And Reliability Engineering Recent Trends And Future Directions written by Boby John and has been published by Allied Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-16 with Business & Economics categories.
International conference supported by Indian Statistical Institute, held at Bangalore, 20-22 December, 2011; selected papers.
Emerging Trends In Industrial Engineering And Management
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Author : Ajay Kumar
language : en
Publisher: CRC Press
Release Date : 2025-08-07
Emerging Trends In Industrial Engineering And Management written by Ajay Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-07 with Technology & Engineering categories.
Emerging trends in Industrial Engineering and Management (IEM) refer to the new and transformative developments, practices, and technologies that are currently gaining prominence in the field of industrial engineering and management. Trends in Industrial Engineering and Management can encompasses a wide range of topics such as utilization of Industry 4.0 strategies like Industrial Internet of Things, artificial Intelligence, theoretical, numerical, computational approaches to model the methods and process of IEM. This book: Provides a comprehensive discussion of industrial engineering and management Includes principles of continuous improvement, encouraging readers to adopt a mind-set of on-going optimization and innovation in industrial engineering and management Presents multi-objective optimization, stochastic optimization, and metaheuristic optimization algorithms for solving complex optimization problems in industrial engineering Aligns with the needs of various industries, addressing specific challenges faced by manufacturing, healthcare, logistics, service, and other sectors Highlights the importance of using digital technological tools like the Internet of Things, Industrial Internet of Things, big data, and artificial intelligence in practices of industrial management to enhance competitiveness, decision-making, and operations efficiency It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, operation management, industrial management, quality engineering, and engineering management.
Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics
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Author : Taser, Pelin Yildirim
language : en
Publisher: IGI Global
Release Date : 2021-11-05
Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics written by Taser, Pelin Yildirim and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-05 with Computers categories.
The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.
Emerging Trends And Future Directions In Artificial Intelligence Machine Learning And Internet Of Things Innovations
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Author : Khumukcham Robindro Singh
language : en
Publisher: CRC Press
Release Date : 2025-09-29
Emerging Trends And Future Directions In Artificial Intelligence Machine Learning And Internet Of Things Innovations written by Khumukcham Robindro Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-29 with Technology & Engineering categories.
The “North East India AI Summit: Unravelling Trends (NEIAIS 2025)” served as a vibrant platform for the exchange of cutting-edge ideas and research in the field of Artificial Intelligence, with a strong emphasis on both foundational theo□ries and real-world applications. The summit brought together experts, researchers, and enthusiasts to explore critical areas including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Smart Systems, IoT Security, Network Technology, and Artificial Intelligence in Healthcare and Biomedical Applications. Discussions also delved into emerging trends and computational techniques, highlighting the transformative potential of AI in addressing complex, real-world challenges. The conference received an overwhelming response, attracting more than 120 research paper submissions from various regions of India and abroad. After a rigorous review process, 55 high-quality papers were accepted, out of which over 44 papers were registered for presentation at the summit. By fostering interdisciplinary col□laboration and showcasing impactful innovations, NEIAIS 2025 aims to inspire sustained research, technological growth, and broader societal benefits.
Handbook Of Research On Pattern Engineering System Development For Big Data Analytics
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Author : Tiwari, Vivek
language : en
Publisher: IGI Global
Release Date : 2018-04-20
Handbook Of Research On Pattern Engineering System Development For Big Data Analytics written by Tiwari, Vivek and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-20 with Computers categories.
Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.
Applied Graph Data Science
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Author : Pethuru Raj
language : en
Publisher: Elsevier
Release Date : 2025-01-27
Applied Graph Data Science written by Pethuru Raj and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.
Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with its practical research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques. - Provides comprehensive coverage of the emerging paradigm of graph data science and its real-world applications - Gives readers practical guidance on how to approach and solve complex data analysis problems using graph data science, with an emphasis on deep analysis techniques including graph neural networks (GNNs), machine learning, algorithms, graph databases, and graph query languages - Covers extended graph models such as bipartite directed graphs of place-transition nets, graphs with dynamical processes defined on them - Petri and Sleptsov nets, and graphs as programming languages - Presents all the key tools and techniques as well as the foundations of graph theory, including mathematical concepts, research, and graph analytics
Recent Trends In Data Science And Soft Computing
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Author : Faisal Saeed
language : en
Publisher: Springer
Release Date : 2018-09-08
Recent Trends In Data Science And Soft Computing written by Faisal Saeed and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-08 with Technology & Engineering categories.
This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.” A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.