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Section 1. Foundations of intelligent business analytics. Chapter 1. The elements of intelligent business analytics: principles, techniques, and tools ; Chapter 2. Intelligent business analytics: need, functioning, challenges, and implications ; Chapter 3. Principles of a hybrid intelligence framework for augmented analytics ; Chapter 4. Designing business analytics projects (BAP): a five-step dashboarding cycle -- Section 2. Technologies for intelligent business analytics. Chapter 5. A process-oriented framework for regulating artificial intelligence systems ; Chapter 6. A Survey on hybrid case-based reasoning and deep learning systems for medical data classification ; Chapter 7. Big data analytics for search engine optimization in intelligent business ; Chapter 8. Machine learning and deep learning as new tools for business analytics ; Chapter 9. Semantic image analysis on social networks and data processing: review and future directions -- Section 3. Applications of intelligent business analytics. Chapter 10. Applying intelligent big data analytics in a smart airport business: value, adoption, and challenges ; Chapter 11. Immunize your organization: a people analytics exploration of the change in employee priorities after the COVID-19 lockdown ; Chapter 12. Undergraduate computer science capstone projects: experiences and examples in data science ; Chapter 13. The relationships between users' negative tweets, topic choices, and subjective well-being in Japan ; Chapter 14. A comparison of deep learning models in time series forecasting of web traffic data from Kaggle ; Chapter 15. Weibo analysis on Chinese cultural knowledge for gaming ; Chapter 16. Big data analytics and the discovery of the hidden data treasure from savings banks in Germany.
Рубрики:
Management -- Data processing
Big data
Business planning -- Statistical methods
Big data
Management -- Data processing
Аннотация: This book addresses research issues by investigating into foundations, technologies, and applications of intelligent business analytics, offering theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way.
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Sun, Z.\editor.\
Wu, Z.\editor.\
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Wu Z. Semantic grid: model, methodology, and applications / Z. Wu, H. Chen, 2008 r=on-line. - Текст : электронный.Wu Z. Self-consistent calculation of the electronic structure and inter-wire interaction of split-gate double quantum wires / Z. Wu, R. Yang, P. P. Ruden, 1993. - 5 p. - Текст : непосредственный.Sun Z. Satellite networking : principles a. protocols / Z. Sun, 2005. - XXXII,342 p. - Текст : непосредственный.Embedded software and systems : first international conference, ICESS 2004 Hangzhou, China, December 9-10, 2004: revised selected papers / eds. Z. Wu [et al.], 2005 r=on-line. - Текст : электронный.Sun Z. Untersuchung graphischer Spezifikationsmittel zur rechnerunterst@:utzten Erstellung von Lasten-und Pflichtenheften in der Prozessautomatisierung : Diss / Z.Sun, 1990. - 129 S. - Текст : непосредственный.Sun Z. Switched linear systems : control and design / Z. Sun, S. S. Ge, 2005 r=on-lineSun Z. Stability Theory of Switched Dynamical Systems : монография / by Zhendong Sun, Shuzhi Sam Ge., 2011 r=on-line (Введено оглавление). - Текст : электронный.Handbook of research on foundations and applications of intelligent business analytics / Zhaohao Sun, Zhiyou Wu., [2022]. - 16 с. (Введено оглавление). - Текст : электронный.
Big data analytics for satellite image processing and remote sensing / P. Swarnalatha and Prabu Sevugan, editors., [2018]. - XIX, 253 p. - Текст : электронный.Strasser, Bruno J. Collecting experiments : making big data biology / Bruno J. Strasser, 2019. - XV, 404 p. - Текст : электронный.Moridpour, Sara. Big data analytics in traffic and transportation engineering : emerging research and opportunities / Sara Moridpour, Alireza Toran Pour, Saghapour Tayebeh, 2019. - IX, 188 p. (Введено оглавление). - Текст : электронный.Spatial planning in the big data revolution / IGI Global, 2019. - XXXIV, 359 p. (Введено оглавление). - Текст : электронный.Smart agricultural services using deep learning, big data, and IoT / Amit Kumar Gupta, Dinesh Goyal, Vijendra Singh, Harish Sharma., [2021]. - 12 с. (Введено оглавление). - Текст : электронный.Péceli Gábor. Measurement and Data Science / Gábor. Péceli, 2021. - 5 p). - Текст : электронный.Implementing data analytics and architectures for next generation wireless communications / Chintan Bhatt, Neeraj Kumar, Ali Kashif Bashir, Mamoun Alazab., [2022]. - 7 с. (Введено оглавление). - Текст : электронный.Early detection of neurological disorders using machine learning systems / Sudip Paul, Pallab Bhattacharya, and Arindam Bit, editors., 2019. - 15 с. (Введено оглавление). - Текст : электронный.Lu Zhongyu Machine learning in cancer research with applications in colon cancer and big data analysis / Zhongyu Joan Lu and Qiang Xu, Murad Al-Rajab, Lamogha Chiazor. - 19 с. (Введено оглавление). - Текст : электронный.Handbook of research on essential information approaches to aiding global health in the one health context / Jorge Lima de Magalhães, Zulmira Hartz, George Leal Jamil, Henrique Silveira, C. Liliane Jamil., [2022]. - 10 с. (Введено оглавление). - Текст : электронный.Marin Ivan. Big data analysis with Python : combine Spark and Python to unlock the powers of parallel computing and machine learning / Ivan Marin, Ankit Shukla and Sarang VK., 2019. - 5 с. (Введено оглавление). - Текст : электронный.Security, privacy, and forensics issues in big data / IGI Global,, [2020]. - 15 с. (Введено оглавление). - Текст : электронный.Deep learning innovations and their convergence with big data / S. Karthik, SNS College of Technology, Anna University, India; Anand Paul, Kyungpook National University, South Korea; N. Karthikeyan, Mizan-Tepi University, Ethiopia., 2018. - 8 с. (Введено оглавление). - Текст : электронный.Modern technologies for big data classification and clustering / Hari Seetha, Vellore Institute of Technology-Andhra Pradesh, India; M. Narasimha Murty, Indian Institute of Science, India; B. K. Tripathy, VIT University, India, 2018. - 8 с. (Введено оглавление). - Текст : электронный.Weiss Andrew Big data shocks : an introduction to big data for librarians and information professionals / Andrew Weiss., [2018]. - 40 с. (Введено оглавление). - Текст : электронный.Utilizing big data paradigms for business intelligence / Jérôme Darmont, Sabine Loudcher, [editors]., 2019. - 12 с. (Введено оглавление). - Текст : электронный.Sedkaoui, Soraya. Big data analytics for entrepreneurial success / by Soraya Sedkaoui., [2019]. - 7 с. - Текст : электронный.Big data and knowledge sharing in virtual organizations / Albert Gyamfi and Idongesit Williams, editors., [2019]. - 19 с. - Текст : электронный.Agile approaches for successfully managing and executing projects in the fourth industrial revolution / IGI Global,, [2019]. - 13 с. (Введено оглавление). - Текст : электронный.Handbook of research on cloud computing and big data applications in IoT / B.B. Gupta and Dharma P. Agrawal, editors., [2019]. - 20 с. - Текст : электронный.
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