Machine Learning Techniques For Improved Business Analytics

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Machine Learning Techniques For Improved Business Analytics

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Author : G., Dileep Kumar
language : en
Publisher: IGI Global
Release Date : 2018-07-06

Machine Learning Techniques For Improved Business Analytics written by G., Dileep Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-06 with Business & Economics categories.

Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.

Ai And Business Analytics Leveraging Machine Learning For Enhanced Business Intelligence

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Author : SHACHI GHANSHYAM SAYATA, DR. ABHISHEK SINGH VERMA
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-22

Ai And Business Analytics Leveraging Machine Learning For Enhanced Business Intelligence written by SHACHI GHANSHYAM SAYATA, DR. ABHISHEK SINGH VERMA and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Computers categories.

In the ever-evolving world of business, data has emerged as one of the most valuable assets. With businesses generating an immense amount of data every day, the challenge lies in turning this data into actionable insights that drive informed decision-making. The convergence of Artificial Intelligence (AI) and business analytics provides a transformative approach to harnessing the potential of data, making it possible for organizations to gain deeper insights, enhance operational efficiency, and innovate in their strategies. "AI and Business Analytics: Leveraging Machine Learning for Enhanced Business Intelligence" explores this powerful intersection, offering a comprehensive understanding of how machine learning (ML) techniques are being utilized to revolutionize the business landscape. The book, authored by Shachi Ghanshyam Sayata and Dr. Abhishek Singh Verma, delves into the theoretical underpinnings of AI and ML while providing practical applications for businesses striving to gain a competitive edge in an increasingly data-driven world. The authors bring their expertise to the forefront by discussing a wide array of topics, from the basics of machine learning algorithms to their advanced applications in real-world business scenarios. The integration of AI in business intelligence allows companies to make predictions, optimize processes, and personalize customer experiences with unprecedented accuracy. As the digital transformation accelerates, businesses are adopting AI-driven analytics to stay ahead of market trends, anticipate challenges, and uncover new opportunities. This book aims to serve as a valuable resource for professionals, researchers, and students alike. It offers a balanced mix of theoretical concepts and hands-on applications, ensuring readers not only grasp the fundamental principles of AI and ML but also learn how to implement these techniques in business environments effectively. It is particularly relevant for those seeking to understand the practical integration of these technologies into business operations, and how AI can lead to smarter decision-making processes that ultimately drive growth and success. In summary, "AI and Business Analytics" provides the necessary tools and insights for leveraging machine learning technologies to unlock the full potential of business intelligence. The authors’ collective expertise and practical approach make this book an indispensable guide for anyone looking to explore the dynamic fusion of AI, business analytics, and machine learning in today’s rapidly changing business world. We hope that this work will inspire both the academic and professional community to engage with these exciting technologies, thereby contributing to the next generation of AI-powered business innovations. Authors

Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms

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Author : Milutinović, Veljko
language : en
Publisher: IGI Global
Release Date : 2022-03-11

Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms written by Milutinović, Veljko and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Computers categories.

Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.

Handbook Of Research On Foundations And Applications Of Intelligent Business Analytics

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Author : Sun, Zhaohao
language : en
Publisher: IGI Global
Release Date : 2022-03-11

Handbook Of Research On Foundations And Applications Of Intelligent Business Analytics written by Sun, Zhaohao and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Computers categories.

Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

Improving E Commerce Web Applications Through Business Intelligence Techniques

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Author : Sreedhar, G.
language : en
Publisher: IGI Global
Release Date : 2018-02-02

Improving E Commerce Web Applications Through Business Intelligence Techniques written by Sreedhar, G. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-02 with Business & Economics categories.

As the Internet becomes increasingly interconnected with modern society, the transition to online business has developed into a prevalent form of commerce. While there exist various advantages and disadvantages to online business, it plays a major role in contemporary business methods. Improving E-Commerce Web Applications Through Business Intelligence Techniques provides emerging research on the core areas of e-commerce web applications. While highlighting the use of data mining, search engine optimization, and online marketing to advance online business, readers will learn how the role of online commerce is becoming more prevalent in modern business. This book is an important resource for vendors, website developers, online customers, and scholars seeking current research on the development and use of e-commerce.

Proceedings Of The International Conference On Artificial Intelligence And Cloud Icaic 25

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Author :
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-05-17

Proceedings Of The International Conference On Artificial Intelligence And Cloud Icaic 25 written by and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Computers categories.

Dr.A.Bamini, Assistant Professor and Head, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India. Mrs.P.Muthulakshmi, Assistant Professor, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India. Mrs.V.Vanthana, Assistant Professor, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India.

Intelligent Optimization Techniques For Business Analytics

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Author : Bansal, Sanjeev
language : en
Publisher: IGI Global
Release Date : 2024-04-15

Intelligent Optimization Techniques For Business Analytics written by Bansal, Sanjeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Business & Economics categories.

Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense power of intelligent optimization techniques and business analytics only increases as the volume of data grows exponentially, and the complexities of navigating the intricate landscape of business analytics becomes more daunting. This pressing issue underscores the critical need for a comprehensive solution, and Intelligent Optimization Techniques for Business Analytics is poised to provide much-needed answers. This groundbreaking book offers an all-encompassing solution to the challenges that academic scholars encounter in the pursuit of mastering the interplay between learning algorithms and intelligent optimization techniques for business analytics. Through a wealth of diverse perspectives and expert case studies, it illuminates the path to effectively implementing these advanced systems in real-world business scenarios. It caters not only to the scholarly community but also to industry professionals and policymakers, equipping them with the necessary tools and insights to excel in the realm of data-driven decision-making.

Ai And Machine Learning Applications In Supply Chains And Marketing

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Author : Masengu, Reason
language : en
Publisher: IGI Global
Release Date : 2024-10-18

Ai And Machine Learning Applications In Supply Chains And Marketing written by Masengu, Reason and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-18 with Business & Economics categories.

While artificial intelligence (AI) simulates human intelligence in machines, machine learning (ML) enables systems to learn from data without explicit programming. In marketing and supply chain management, AI and ML empower businesses to analyze consumer behavior, personalize experiences, optimize advertising strategies, forecast consumer demands, manage inventory, plan routes, and mitigate risks. Businesses can enhance efficiency, accuracy, decision-making, customer engagement, and cost-effectiveness when integrating AI and ML in marketing and supply chain operations. Further research is necessary to drive success in the dynamic marketplace. AI and Machine Learning Applications in Supply Chains and Marketing bridges the gap between theoretical knowledge and practical application of AI and ML in marketing and supply chain management. It examines emerging technologies that can revolutionize industries by transforming business operations. This book covers topics such as data analysis, sustainable development, and blockchain, and is a useful resource for business owners, economists, marketing professionals, engineers, computer scientists, academicians, and researchers.

Big Data Analytics For Sustainable Computing

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Author : Haldorai, Anandakumar
language : en
Publisher: IGI Global
Release Date : 2019-09-20

Big Data Analytics For Sustainable Computing written by Haldorai, Anandakumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-20 with Computers categories.

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Advances In Artificial Business Analytics And Quantum Machine Learning

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Author : KC Santosh
language : en
Publisher: Springer Nature
Release Date : 2024-09-18

Advances In Artificial Business Analytics And Quantum Machine Learning written by KC Santosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Computers categories.

This book presents select proceedings of the 3rd International Conference on “Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects” (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cyber security, data science, and machine learning. The book is useful for researchers and professionals interested in the broad field of communication engineering.