Database Management And Social Media Analytical Process Optimizing Business Operation Through Hybrid Tools
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Database Management And Social Media Analytical Process Optimizing Business Operation Through Hybrid Tools
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Author : Dr. Diwakar Chaudhary
language : en
Publisher: kitab writing publication
Release Date : 2023-10-18
Database Management And Social Media Analytical Process Optimizing Business Operation Through Hybrid Tools written by Dr. Diwakar Chaudhary and has been published by kitab writing publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-18 with Antiques & Collectibles categories.
The digital world has a wealth of data, such as internet of things (IoT) data, business data, health data, mobile data, urban data, security data, and many more, in the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR). Extracting knowledge or useful insights from these data can be used for smart decision-making in various applications domains. In the area of data science, advanced analytics methods including machine learning modeling can provide actionable insights or deeper knowledge about data, which makes the computing process automatic and smart. This book focuses as a reference point on data science and advanced analytics to the researchers and decision-makers as well as application developers, particularly from the data-driven solution point of view for real-world problems using social media analytics.
Logistics Management And Optimization Through Hybrid Artificial Intelligence Systems
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Author : Ortiz Zezzatti, Carlos Alberto Ochoa
language : en
Publisher: IGI Global
Release Date : 2012-03-31
Logistics Management And Optimization Through Hybrid Artificial Intelligence Systems written by Ortiz Zezzatti, Carlos Alberto Ochoa and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-31 with Computers categories.
"This book offers the latest research within the field of HAIS, surveying the broad topics and collecting case studies, future directions, and cutting edge analyses, investigating biologically inspired algorithms such as ant colony optimization and particle swarm optimization"--
Advanced Hybrid Information Processing
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Author : Weina Fu
language : en
Publisher: Springer Nature
Release Date : 2023-03-21
Advanced Hybrid Information Processing written by Weina Fu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.
This two-volume set constitutes the post-conference proceedings of the 6th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2022, held in Changsha, China, in September 29-30, 2022. The 109 full papers presented were selected from 276 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: Information Extracting and Processing in Digital World; Education Based methods in Learning and Teaching; Various Systems for Digital World.
Paradigm Shift Multidisciplinary Research For A Changing World Volume 2
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Author : Dr. Sagarika Dash
language : en
Publisher: REDSHINE Publication
Release Date : 2024-08-31
Paradigm Shift Multidisciplinary Research For A Changing World Volume 2 written by Dr. Sagarika Dash and has been published by REDSHINE Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-31 with Antiques & Collectibles categories.
Communication And Computing Systems
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Author : B.M.K. Prasad
language : en
Publisher: CRC Press
Release Date : 2019-10-22
Communication And Computing Systems written by B.M.K. Prasad and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-22 with Computers categories.
The International Conference on Communication and Computing Systems (ICCCS 2018) provides a high-level international forum for researchers and recent advances in the field of electronic devices, computing, big data analytics, cyber security, quantum computing, biocomputing, telecommunication, etc. The aim of the conference was to bridge the gap between the technological advancements in the industry and the academic research.
Architecting The Future Of Data Oracle Sharding Cloud Intelligence And Scalable Enterprise Systems 2025
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Author : Author:1- Sarvesh Kumar Gupta, Author:2-Dr. Lalit Kumar
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Architecting The Future Of Data Oracle Sharding Cloud Intelligence And Scalable Enterprise Systems 2025 written by Author:1- Sarvesh Kumar Gupta, Author:2-Dr. Lalit Kumar and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In the digital age, data has become the driving force behind business decision-making, customer experiences, and technological innovation. As organizations strive to harness the full potential of their data, the need for scalable, efficient, and resilient data architectures has never been greater. Traditional monolithic database systems are often insufficient to handle the massive volumes, variety, and velocity of data generated by modern enterprises. Enter Oracle Sharding, Cloud Intelligence, and scalable enterprise systems—the cornerstone technologies that enable organizations to meet the demands of the data-driven future.Architecting the Future of Data: Oracle Sharding, Cloud Intelligence, and Scalable Enterprise Systems offers a comprehensive exploration of how these cutting-edge technologies are reshaping the landscape of enterprise data management. This book provides in-depth insights into how organizations can design and implement scalable, cloud-native database architectures that allow for seamless data distribution, faster processing, and enhanced performance. By focusing on Oracle Sharding, cloud intelligence, and enterprise scalability, this book aims to equip IT professionals, data architects, and business leaders with the knowledge and tools required to build the next generation of enterprise systems. The foundation of this book is Oracle’s Sharding technology, which offers an innovative approach to database architecture by horizontally partitioning data across multiple databases, or shards. This approach enhances both performance and scalability, allowing organizations to process vast amounts of data across distributed environments while ensuring high availability, fault tolerance, and efficient resource utilization. As businesses increasingly adopt cloud platforms, Oracle Sharding proves to be a critical tool for managing data in distributed cloud environments, ensuring seamless data access and faster query performance even as data volumes grow exponentially. Furthermore, cloud intelligence plays a pivotal role in enabling organizations to build smarter, more adaptive systems. As cloud technologies evolve, leveraging intelligent data processing, machine learning (ML), and artificial intelligence (AI) has become a game-changer for businesses looking to extract deeper insights from their data and improve operational efficiencies. This book delves into how cloud intelligence, when integrated with scalable data architectures like Oracle Sharding, allows enterprises to process, analyze, and gain real-time insights from massive datasets. The ability to deploy AI models directly within the cloud infrastructure enhances predictive capabilities, automates decision-making processes, and drives innovation. Scalable enterprise systems are essential for organizations to maintain their competitive edge in a rapidly changing business environment. As companies expand their digital footprints and create more data-intensive applications, the need for scalable, distributed data architectures has become crucial. This book explores the design principles and best practices for creating cloud-native enterprise systems that can adapt to growing data demands while ensuring high performance and security. By understanding the synergy between Oracle Sharding and cloud intelligence, organizations can build resilient systems capable of handling the complexities of modern data workflows. Throughout the chapters, we will cover not only the technical aspects of these technologies but also real-world use cases and best practices from leading companies who have successfully adopted Oracle Sharding and cloud-based data architectures. This book aims to bridge the gap between theoretical concepts and practical implementation, offering readers actionable strategies for building scalable, cloud-native data systems that align with business goals and technological advancements. As organizations continue to embrace digital transformation and the cloud becomes the backbone of modern IT infrastructure, understanding how to design and implement scalable, intelligent data architectures is more critical than ever. Whether you are an IT architect, database administrator, or business leader, Architecting the Future of Data will provide you with the insights and strategies necessary to navigate the challenges and opportunities of modern data management. The future of data is distributed, intelligent, and scalable—this book will guide you in shaping that future within your organization. Authors
Data Mining And Business Intelligence
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Author : Dr. Jyotiranjan Hota
language : en
Publisher: BPB Publications
Release Date : 2025-05-20
Data Mining And Business Intelligence written by Dr. Jyotiranjan Hota and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.
DESCRIPTION Data mining is crucial in business intelligence as it enables organizations to extract valuable insights and patterns from vast datasets, ultimately supporting informed decision-making, enhancing operational efficiency, and driving strategic growth. Validations, model building and interpretations are accomplished through databases, data warehouses, various supervised and unsupervised algorithms, tools for data modeling, descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics to ensure accurate decision-making. This book systematically explores the core concepts and techniques of data mining and business intelligence. It begins by introducing fundamental principles and key methodologies, including regression, classification, association rule mining, and clustering. The text progresses to cover business intelligence architectures, data warehousing, and essential practices like data modeling, dashboard design, and data visualization using tools like Power BI. Furthermore, it delves into advanced topics such as text mining, big data analytics, and the ethical considerations surrounding data mining and business intelligence, ensuring a well-rounded understanding. Upon completing this book, readers will be competent in understanding various pre-processing techniques, applying appropriate data mining algorithms to large data sets, and conducting data analysis and interpretation to derive meaningful insights. They will also gain skills in data modeling and visualization to effectively communicate findings to business leaders and policymakers. Additionally, readers will develop an understanding of ethical considerations in data practices. WHAT YOU WILL LEARN ● Conducting pre-processing of data, applying appropriate algorithm to generate model summary and communicating the result effectively. ● Master data mining, BI principles, regression, classification, association rules, and clustering. ● Design BI architectures, ETL processes, data warehouses, and effective data visualizations. ● Utilize Power BI for data modeling, dashboard design, and create compelling data visualizations. ● Explore text mining, big data analytics, and the ethical dimensions of data practices. ● Implement regression, classification, association rule mining, and clustering techniques. ● Develop expertise in data mining, business intelligence, and ethical data application. WHO THIS BOOK IS FOR This textbook is written for a wide range of audiences, including professionals such as data analysts, business managers, IT specialists, analytics professionals, and researchers seeking to enhance their understanding of data-driven decision-making. It is also valuable for students who want to establish foundational knowledge in data mining and business intelligence. TABLE OF CONTENTS 1. Introduction to Data Mining and Business Intelligence 2. Regression and Classification Techniques with Applications 3. Concept and Application of Association Rule Mining Algorithm 4. Clustering 5. Introduction to Business Intelligence 6. Business Intelligence Architecture, Query and Reporting Practices 7. Advanced Data Mining and Business Intelligence Techniques 8. Data Mining and Business Intelligence Ethical Framework
Digital And Media Management
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Author : Tarun Jindal
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Digital And Media Management written by Tarun Jindal and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Business & Economics categories.
"Digital and Media Management" serves as a vital guide through today’s rapidly shifting media landscape, where traditional and digital platforms converge. This book provides an in-depth look at strategies, challenges, and opportunities in the evolving world of media management, offering a comprehensive toolkit for professionals and newcomers alike. We begin with core concepts, tracing the evolution of media management, and highlighting essential principles and challenges faced by media managers. Covering traditional sectors like print, broadcast, and film, readers gain insights into the business models, editorial processes, and distribution strategies that drive these industries. As the focus shifts to digital media, we explore social media, content creation, and digital marketing. Practical examples and case studies illustrate how media organizations can harness digital tools to engage audiences, monetize content, and maintain a competitive edge. Emphasizing content management systems (CMS), we provide actionable guidance for streamlining digital workflows and optimizing content strategies. With a dedicated section on strategic management, readers also learn to develop adaptable strategies, navigate legal considerations, and harness technology innovations like data analytics and AI. "Digital and Media Management" equips readers with the insights and strategies necessary to succeed in the modern media landscape.
Business Intelligence From Data To Decisions
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Author : Varun Khanna
language : en
Publisher: Varun Khanna
Release Date : 2023-01-18
Business Intelligence From Data To Decisions written by Varun Khanna and has been published by Varun Khanna this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-18 with Language Arts & Disciplines categories.
This business intelligence (BI) book is a beginner's guide that provides with quality content covering over 20+ areas. I have over 6 years experience working in the health care sector and the topics covered in my latest book will help you get a better understanding on the subject matter.
Encyclopedia Of Business Analytics And Optimization
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2014-02-28
Encyclopedia Of Business Analytics And Optimization written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Business & Economics categories.
As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.