Granular Computing and Big Data Advancements by Chao Zhang
In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often leads to paralysis or misguided choices, amplifying the risks inherent in uncertain environments. Granular Computing and Big Data Advancements provides insights and solutions in this challenging landscape. This comprehensive publication addresses the fundamental dilemma decision-makers face: how to harness the power of big data amidst uncertainty to make informed choices that drive success. By delving into the intricacies of big data analytics, uncertainty modeling, and advanced quantification techniques, the book equips scholars with the necessary tools to extract meaningful insights from vast datasets and confidently navigate uncertainty. Through real-world case studies spanning diverse domains such as finance, healthcare, and marketing, readers gain invaluable practical insights into applying these methodologies in their contexts. The impact of Granular Computing and Big Data Advancements reverberates across the research community, offering a cohesive resource that bridges the gap between theory and practice. With its interdisciplinary approach and emphasis on innovation, the book fosters collaboration and empowers scholars to tackle complex challenges head-on. Whether researchers seek novel methodologies, practitioners aim to enhance decision-making processes, or students embark on their academic journey, this publication serves as a cornerstone in the quest for effective decision-making amidst the uncertainties of the modern world.-
Advancements in Fuzzy Reliability Theory
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Cloud Computing Applications and Techniques for E-Commerce
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Quantum Computing and Cryptography in Future Computers
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Design, Applications, and Maintenance of Cyber-Physical Systems
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MATLAB With Applications in Mechanics and Tribology
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Software Engineering for Modern Web Applications: Requirement, Design, and Implementation
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Handbook of Research on Modeling, Analysis, and Control of Complex Systems
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Grammatical and Syntactical Approaches in Architecture
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Handbook of Research on Software Quality Innovation in Interactive Systems
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Methodologies and Applications of Computational Statistics for Machine Intelligence
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Soft Computing Methods for System Dependability
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Tools and Techniques for Software Development in Large Organizations
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Deep Learning Applications for Cyber-Physical Systems
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Artificial Intelligence Paradigms for Smart Cyber-Physical Systems
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Impacts and Challenges of Cloud Business Intelligence
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Handbook of Research on Smarter and Secure Industrial Applications Using AI, IoT, and Blockchain Technology
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Handbook of Research on Methodologies and Applications of Supercomputing
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Pioneering Approaches in Data Management
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Harnessing High-Performance Computing and AI for Environmental Sustainability
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Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
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Social Reflections of Human-Computer Interaction in Education, Management, and Economics
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Multi-Criteria Decision Making Models and Techniques: Neutrosophic Approaches
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Multi-Criteria Decision Making Models and Techniques
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Recent Trends and Future Direction for Data Analytics
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Revolutionizing Curricula Through Computational Thinking, Logic, and Problem Solving
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Metaheuristics Algorithm and Optimization of Engineering and Complex Systems
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Building Business Models with Machine Learning
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Technological Advancements in Data Processing for Next Generation Intelligent Systems
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Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods
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Optimization Tools and Techniques for Enhanced Computational Efficiency
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Handbook of Research on Frameworks for Blockchain Standards, Tools, Testbeds, and Platforms
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Frameworks for Blockchain Standards, Tools, Testbeds, and Platforms
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Integrating Machine Learning Into HPC-Based Simulations and Analytics
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Enhancing Data-Driven Electronics Through IoT
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Balancing Agile and Disciplined Engineering and Management Approaches for IT Services and Software Products
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Formal and Adaptive Methods for Automation of Parallel Programs Construction
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Advancements in Model-Driven Architecture in Software Engineering
| SKU | Unavailable |
| ISBN 13 | 9798369349632 |
| Title | Granular Computing and Big Data Advancements |
| Author | Chao Zhang |
| Series | Advances In Systems Analysis Software Engineering And High Performance Computing Ser |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | IGI Global |
| Year published | 2024-08-06 |
| Number of pages | 335 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |