Author: Trivedi, Shrawan Kumar
Publisher: IGI Global
ISBN: 1522520325
Category : Computers
Languages : en
Pages : 465
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Book Description
The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.
Author: Ken Yale
Publisher: Elsevier
ISBN: 0124166458
Category : Mathematics
Languages : en
Pages : 824
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Book Description
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Author: Galit Shmueli
Publisher: John Wiley & Sons
ISBN: 111954985X
Category : Mathematics
Languages : en
Pages : 607
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Book Description
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R
Author: Stephan Kudyba
Publisher: IGI Global
ISBN: 9781930708037
Category : Computers
Languages : en
Pages : 184
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Book Description
Annotation Provides an overview of data mining technology and how it is applied in a business environment. Material is not written in a technical style, but rather addresses the applied methodology behind implementing data mining techniques in the corporate environment. Explains how the technology evolved, overviews the methodologies that comprise the data mining spectrum, and looks at everyday business applications for data mining, in areas such as marketing and advertising promotions and pricing policies using econometric-based modeling, and using the Internet to help improve an organization's performance. Kudyba is an economic consultant. Hoptroff is an independent consultant with experience in data mining software. Annotation c. Book News, Inc., Portland, OR (booknews.com).
Author: Jorge Luis García Alcaraz
Publisher: Springer Nature
ISBN: 3031008561
Category : Technology & Engineering
Languages : en
Pages : 460
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Book Description
This book presents algorithms and computational applications integrated in software that are being applied in the industry. It shows how companies using these tools are more competitive and efficient in the use and resources management. The book is organized in three sections, depending on the supply chain stage: procurement, including contact with costumers and product design; Production process, including relationship with suppliers and among departments; and Distribution, including logistics and transportation.
Author: Anshari, Muhammad
Publisher: IGI Global
ISBN: 1668460998
Category : Business & Economics
Languages : en
Pages : 284
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Book Description
It is expected that the metaverse will be the next generation of the internet and its online activities and will serve as the foundation for a massive online business platform. Furthermore, it will alter people's behavior, which will have an impact on businesses' decisions to choose the metaverse as their primary business platform. Metaverse Applications for New Business Models and Disruptive Innovation showcases the most recent developments in the metaverse and their implications for business and considers the challenges and best practices of implementing this technology in business. Covering topics such as augmented reality, economics, security, and business models, this reference work is ideal for business owners, managers, computer scientists, researchers, scholars, academicians, practitioners, educators, and students.
Author: Oskounejad, Mohammad Mehdi
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 297
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Book Description
In an era dominated by technology, our world is experiencing a radical transformation through the relentless expansion of industrial generations. The advent of the fourth industrial generation unleashed transformative technologies that revolutionized businesses, enabling access to unprecedented data and analytical capabilities. As we transition into the fifth industrial generation, concepts like sustainability, resilience, and value take center stage, laying the foundation for what is now known as Industry 6.0. In this landscape, processes are intelligently managed without human intervention, and artificial intelligence burgeons, promising a future where calculations and analyses occur at unprecedented speeds through quantum computing. Advanced Businesses in Industry 6.0 emerges as a comprehensive guide to decipher the intricacies of Industry 6.0. With a focus on ultra-advanced concepts, we aim to provide a roadmap for scholars and professionals, offering insights into the opportunities and challenges within this ultra-smart environment. Tailored for students and professionals alike, this book delves into essential topics such as super smart businesses, supply chain advancements, smart factories, production, procurement, information logistics, distribution, interactions, marketing, finance, agriculture, and health systems in Industry 6.0.
Author: Tiziana Russo Spena
Publisher: Springer Nature
ISBN: 3030633764
Category : Business & Economics
Languages : en
Pages : 226
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Book Description
This book devises an alternative conceptual framework to understand digital transformation in the cultural heritage sector. It achieves this by placing a high importance on the role of technology in the strategic process of modeling and developing cultural services in the digital era. The focus is on how marketing activities and customer processes are being transformed by digital technologies to create better value, which can also be communicated to customers through an engaged and personalized approach. Much of the digital debate in cultural heritage is still in infancy. Some existing studies are anecdotal and often developed within the domain of established research streams, including studies with some technological aspects addressed partially and from an episodic or periodic perspective. Moreover, the critical changes that have emerged in the cultural management landscape are yet to be highlighted. This book fills that gap and provides a perspective on the cultural heritage sector, which uses the new social and technology landscape to describe the digital transformation in cultural heritage sectors. The authors highlight an inclusive perspective that addresses marketing strategy in the digital era as a proactive, technology-enabled process by which firms collaborate with customers to jointly create, communicate, deliver, and sustain experience and value co-creation.
Author: Haldorai, Anandakumar
Publisher: IGI Global
ISBN: 1522597522
Category : Computers
Languages : en
Pages : 285
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Book Description
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.
Author: McKee, James
Publisher: IGI Global
ISBN: 1522533931
Category : Business & Economics
Languages : en
Pages : 132
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Book Description
The integration of recent technological advances into modern business processes has allowed for greater efficiency and productivity. However, while such improvements are immensely beneficial, the modeling and coordination of these activities offers a unique set of challenges that must be addressed. Business Architectures for Risk Assessment and Strategic Planning: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on the utilization of business models and value propositions in modern enterprises. Featuring extensive coverage on relevant areas such as management information systems, business planning, and value analysis, this publication is an ideal resource for information system practitioners, universities and colleges, business managers, and advanced-level students seeking the latest research on achievements in this field.
