Dursun Delen – författare & böcker

Business Intelligence, Analytics, Data Science, and AI, Global Edition

Häftad, Engelska, 2024

988 kr

Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager.

The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and “data for good.”

Business Intelligence, Analytics, Data Science, and AI, Global Edition

Pearson Education

2024

825 kr

Skickas inom 7-10 vardagar

Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager.

The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and “data for good.”

Dursun Delen, Robert Nisbet, Thomas Hill, Andrew Fast, John Elder, Gary D. Miner - Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, E-bok

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

AvDursun Delen,Robert Nisbetm. fl.

E-bok

Engelska, 2012

748 kr

Läs direkt efter köp

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities.The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically.- Extensive case studies, most in a tutorial format, allow the reader to ''click through'' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible- Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com- Glossary of text mining terms provided in the appendix

Real-World Data Mining

Applied Business Analytics and Decision Making

AvDursun Delen

E-bok

PDF, Engelska, 2014

586 kr

Läs direkt efter köp

Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance.

Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, he provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen''s conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials.

Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based.

Prescriptive Analytics

The Final Frontier for Evidence-Based Management and Optimal Decision Making

AvDursun Delen

Häftad, Engelska, 2019

355 kr

Skickas inom 7-10 vardagar

Make Better Decisions, Leverage New Opportunities, and Automate Decisioning at Scale Prescriptive analytics is more directly linked to successful decision-making than any other form of business analytics. It can help you systematically sort through your choices to optimize decisions, respond to new opportunities and risks with precision, and continually reflect new information into your decisioning process. In Prescriptive Analytics, analytics expert Dr. Dursun Delen illuminates the field’s state-of-the-art methods, offering holistic insight for both professionals and students. Delen’s end-to-end, all-inclusive approach covers optimization, simulation, multi-criteria decision-making methods, inference- and heuristic-based decisioning, and more. Balancing theory and practice, he presents intuitive conceptual illustrations, realistic example problems, and real-world case studies–all designed to deliver knowledge you can use. Discover where prescriptive analytics fits and how it improves decision-making Identify optimal solutions for achieving an objective within real-world constraints Analyze complex systems via Monte-Carlo, discrete, and continuous simulations Apply powerful multi-criteria decision-making and mature expert systems and case-based reasoning Preview emerging techniques based on deep learning and cognitive computing

Business Intelligence, Analytics, and Data Science: A Managerial Perspective

AvRamesh Sharda,Dursun Delen

Häftad, Engelska, 2024

2 706 kr

Skickas inom 3-6 vardagar

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, Global Edition

AvRamesh Sharda,Dursun Delenm. fl.

Häftad, Engelska, 2020

1 112 kr

Skickas inom 7-10 vardagar

For courses in decision support systems, computerised decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisions Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus — analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, Global Edition

AvEfraim Turban,Dursun Delenm. fl.

E-bok

PDF, Engelska, 2020

(1)

794 kr

Läs direkt efter köp

For courses in decision support systems, computerized decision-making tools, and management support systems.

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organizations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganization reflecting a new focus — analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

Advanced Data Mining Techniques

AvDavid L. Olson,Dursun Delen

Häftad, Engelska, 2008

1 107 kr

Skickas inom 10-15 vardagar

The intent of this book is to describe some recent data mining tools that have proven effective in dealing with data sets which often involve unc- tain description or other complexities that cause difficulty for the conv- tional approaches of logistic regression, neural network models, and de- sion trees. Among these traditional algorithms, neural network models often have a relative advantage when data is complex. We will discuss methods with simple examples, review applications, and evaluate relative advantages of several contemporary methods. Book Concept Our intent is to cover the fundamental concepts of data mining, to dem- strate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. We have organized the material into three parts. Part I introduces concepts. Part II contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining. Not all of these chapters need to be covered, and their sequence could be varied at instructor design. The book will include short vignettes of how specific concepts have been applied in real practice. A series of representative data sets will be generated to demonstrate specific methods and concepts. References to data mining software and sites such as www.kdnuggets.com will be provided. Part I: Introduction Chapter 1 gives an overview of data mining, and provides a description of the data mining process. An overview of useful business applications is provided.

Advanced Data Mining Techniques

AvDursun Delen,David L. Olson

E-bok

PDF, Engelska, 2008

1 455 kr

Läs direkt efter köp

The intent of this book is to describe some recent data mining tools that have proven effective in dealing with data sets which often involve unc- tain description or other complexities that cause difficulty for the conv- tional approaches of logistic regression, neural network models, and de- sion trees. Among these traditional algorithms, neural network models often have a relative advantage when data is complex. We will discuss methods with simple examples, review applications, and evaluate relative advantages of several contemporary methods. Book Concept Our intent is to cover the fundamental concepts of data mining, to dem- strate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. We have organized the material into three parts. Part I introduces concepts. Part II contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining. Not all of these chapters need to be covered, and their sequence could be varied at instructor design. The book will include short vignettes of how specific concepts have been applied in real practice. A series of representative data sets will be generated to demonstrate specific methods and concepts. References to data mining software and sites such as www.kdnuggets.com will be provided. Part I: Introduction Chapter 1 gives an overview of data mining, and provides a description of the data mining process. An overview of useful business applications is provided.

Pearson eText for Inteligencia de negocios

análisis, ciencia de datos e inteligencia artificial

Pearson Education

2025

396 kr

Skickas inom 7-10 vardagar

Inteligencia de negocios, analítica, ciencia de datos e IA. Una perspectiva gerencial es un eText que ofrece a los estudiantes una visión clara y actual de cómo las organizaciones modernas utilizan la analítica, la ciencia de datos y la inteligencia artificial para apoyar la toma de decisiones. A través de un enfoque accesible y orientado a la gestión, este eText explica cómo transformar datos en información valiosa que impulsa la eficiencia, la innovación y la ventaja competitiva.

El contenido integra de forma práctica conceptos clave —desde la analítica descriptiva, predictiva y prescriptiva hasta tecnologías emergentes como el aprendizaje profundo, los chatbots y el Internet de las Cosas—, mostrando cómo se aplican en distintos contextos empresariales. Con ejemplos reales, herramientas actuales y un enfoque de aprendizaje basado en exposición, experiencia y exploración, este eText ayuda a desarrollar tanto el conocimiento conceptual como la capacidad de aplicar analítica e IA en escenarios reales de negocio.

Enfoque gerencial claro para comprender la analítica y la IA Cobertura integrada de inteligencia de negocios, ciencia de datos e IA Organización basada en analítica descriptiva, predictiva y prescriptiva Ejemplos y casos reales de múltiples industrias Introducción a tecnologías emergentes como aprendizaje profundo y chatbots Explicación de herramientas y plataformas de análisis actuales Enfoque práctico basado en exposición, experiencia y exploración Contenido actualizado con tendencias en IA, IoT y automatización Introducción a conceptos éticos, de privacidad y gestión de datos

Pearson eText for Inteligencia de negocios

análisis, ciencia de datos e inteligencia artificial

Pearson Education

2025

220 kr

Skickas inom 7-10 vardagar

Inteligencia de negocios, analítica, ciencia de datos e IA. Una perspectiva gerencial es un eText que ofrece a los estudiantes una visión clara y actual de cómo las organizaciones modernas utilizan la analítica, la ciencia de datos y la inteligencia artificial para apoyar la toma de decisiones. A través de un enfoque accesible y orientado a la gestión, este eText explica cómo transformar datos en información valiosa que impulsa la eficiencia, la innovación y la ventaja competitiva.

El contenido integra de forma práctica conceptos clave —desde la analítica descriptiva, predictiva y prescriptiva hasta tecnologías emergentes como el aprendizaje profundo, los chatbots y el Internet de las Cosas—, mostrando cómo se aplican en distintos contextos empresariales. Con ejemplos reales, herramientas actuales y un enfoque de aprendizaje basado en exposición, experiencia y exploración, este eText ayuda a desarrollar tanto el conocimiento conceptual como la capacidad de aplicar analítica e IA en escenarios reales de negocio.

Enfoque gerencial claro para comprender la analítica y la IA Cobertura integrada de inteligencia de negocios, ciencia de datos e IA Organización basada en analítica descriptiva, predictiva y prescriptiva Ejemplos y casos reales de múltiples industrias Introducción a tecnologías emergentes como aprendizaje profundo y chatbots Explicación de herramientas y plataformas de análisis actuales Enfoque práctico basado en exposición, experiencia y exploración Contenido actualizado con tendencias en IA, IoT y automatización Introducción a conceptos éticos, de privacidad y gestión de datos

Pearson eText for Inteligencia de negocios

análisis, ciencia de datos e inteligencia artificial

Pearson Education

2025

291 kr

Skickas inom 7-10 vardagar

Inteligencia de negocios, analítica, ciencia de datos e IA. Una perspectiva gerencial es un eText que ofrece a los estudiantes una visión clara y actual de cómo las organizaciones modernas utilizan la analítica, la ciencia de datos y la inteligencia artificial para apoyar la toma de decisiones. A través de un enfoque accesible y orientado a la gestión, este eText explica cómo transformar datos en información valiosa que impulsa la eficiencia, la innovación y la ventaja competitiva.

El contenido integra de forma práctica conceptos clave —desde la analítica descriptiva, predictiva y prescriptiva hasta tecnologías emergentes como el aprendizaje profundo, los chatbots y el Internet de las Cosas—, mostrando cómo se aplican en distintos contextos empresariales. Con ejemplos reales, herramientas actuales y un enfoque de aprendizaje basado en exposición, experiencia y exploración, este eText ayuda a desarrollar tanto el conocimiento conceptual como la capacidad de aplicar analítica e IA en escenarios reales de negocio.

Enfoque gerencial claro para comprender la analítica y la IA Cobertura integrada de inteligencia de negocios, ciencia de datos e IA Organización basada en analítica descriptiva, predictiva y prescriptiva Ejemplos y casos reales de múltiples industrias Introducción a tecnologías emergentes como aprendizaje profundo y chatbots Explicación de herramientas y plataformas de análisis actuales Enfoque práctico basado en exposición, experiencia y exploración Contenido actualizado con tendencias en IA, IoT y automatización Introducción a conceptos éticos, de privacidad y gestión de datos

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Dursun Delen – författare

Business Intelligence, Analytics, Data Science, and AI, Global Edition

Business Intelligence, Analytics, Data Science, and AI, Global Edition

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Real-World Data Mining

Prescriptive Analytics

Business Intelligence, Analytics, and Data Science: A Managerial Perspective

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, Global Edition

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, Global Edition

Advanced Data Mining Techniques

Advanced Data Mining Techniques

Pearson eText for Inteligencia de negocios

Pearson eText for Inteligencia de negocios

Pearson eText for Inteligencia de negocios

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