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Development of algorithms for searching, analyzing and detecting fraudulent activities in the financial sphere

Khrestina, Marina Pavlovna; Dorofeev, Dmitry Ivanovich; … - In: European research studies 20 (2017) 4B, pp. 484-498

Persistent link: https://www.econbiz.de/10012219658

Knowledge extraction in digit recognition using MNIST dataset : evolution in handwriting analysis

Rastogi, Rohit; Upadhyay, Himanshu; Rastogi, Akshit Rajan; … - In: International journal of knowledge management : IJKM ; … 17 (2021) 4, pp. 52-75

Persistent link: https://www.econbiz.de/10012799986

Knowledge extraction in digit recognition using MNIST dataset : evolution in handwriting analysis

Rastogi, Rohit; Upadhyay, Himanshu; Rastogi, Akshit Rajan; … - In: International journal of knowledge management : IJKM ; … 17 (2021) 4, pp. 52-75

Persistent link: https://www.econbiz.de/10013209256

A systematic classification of database solutions for data mining to support tasks in supply chains

Hunker, Joachim; Scheidler, Anne Antonia; Rabe, Markus - In: Data science and innovation in supply chain management …, (pp. 395-425). 2020

Purpose: Our research shows that considering well suited NoSQL databases is beneficial for logistics tasks. For … answering tasks we rely on the widespread methods of Data Mining. We stress that using relational databases as basis for Data … Mining tools cannot cope with the growing amount of data and that using NoSQL databases can be an important step to address …

Persistent link: https://www.econbiz.de/10012388130

Business Advancement through Technology Volume II : The Changing Landscape of Industry and Employment

Thrassou, Alkis (ed.); Vrontis, Demetris (ed.); … - 2022

Chapter 1: Editorial Introduction: Conceptualising Technology Diffusion on Work and Employment -- Chapter 2: Research on Robotic Process Automation: Structuring the Scholarly Field -- Chapter 3: Role of Technology enabled HRM systems in developing Hybrid workplaces: A case study of the...

Persistent link: https://www.econbiz.de/10013465851

The Relational Governance of Artificial Intelligence : Forms and Interactions

Wiesmüller, Sabine - 2023

Chapter 1. Introduction and Theoretical Foundation -- Chapter 2. A Theoretical Approximation to Artificial Intelligence as an Autopoietic System -- Chapter 3. Conceptualisation of the Relational Governance of Artificial Intelligence -- Chapter 4: Contextualisation of Relational AI Governance in...

Persistent link: https://www.econbiz.de/10013533957

Main uses of artificial intelligence in digital marketing strategies linked to tourism

Lacárcel, Francisco Javier S. - In: Journal of tourism, sustainability and well-being 10 (2022) 3, pp. 215-226

Migratory movements and tourism in general, together with the improvement of new technologies, have meant an increase in terms of accessibility and ease of information linked to tourism. At the same time, the use of artificial intelligence has opened new horizons in which digital marketing...

Persistent link: https://www.econbiz.de/10014239948

The Future of Consumption : How Technology, Sustainability and Wellbeing will Transform Retail and Customer Experience

Bäckström, Kristina (ed.); Egan-Wyer, Carys (ed.); … - 2024

Introduction -- The Future of Consumption, Kristina Bäckström, Carys Egan-Wyer & Emma Samsioe -- Part 1 - Technology -- The Intersection of Sustainability and Technology in the Context of the Digital Marketplace, Hela Hassen & Precious Akponah -- Smart Signage: Toward a Transformative Model...

Persistent link: https://www.econbiz.de/10014375079

Mapping the role and impact of Artificial Intelligence and machine learning applications in supply chain digital transformation : a bibliometric analysis

Rana, Jeetu; Daultani, Yash - In: Operations management research : OMR ; advancing … 16 (2023) 4, pp. 1641-1666

Persistent link: https://www.econbiz.de/10015182183

Optimizing digital engagement through Machine Learning strategies in Viksit Bharat's marketing landscape

Raidas, Abhishek; Dhoot, Priyanka - In: South Asian journal of management : SAJM 31 (2024) 5, pp. 79-99

Persistent link: https://www.econbiz.de/10015271387