Acta Informatica Pragensia, 2024 (vol. 13), issue 1

Article

Blockchain-Based Framework for Privacy Preservation and Securing EHR with Patient-Centric Access Control

Reval Prabhu Puneeth, Govindaswamy Parthasarathy

Acta Informatica Pragensia 2024, 13(1), 1-23 | DOI: 10.18267/j.aip.225601  

The technological advancements in the field of E-healthcare have resulted in unprecedented generation of medical data which increases the risk of data security and privacy. Ensuring the privacy of Electronic Health Records (EHR) has become challenging due to outsourcing of healthcare information in the cloud. This increases the chance of data leakage to unauthorized users and affects the privacy and integrity of the user data. It requires a trustworthy central authority to protect the sensitive patient information from both internal and external attacks. This paper presents a blockchain based privacy preservation framework for securing EHR data. The...

Optimized Ensemble Support Vector Regression Models for Predicting Stock Prices with Multiple Kernels

Subba Reddy Thumu, Geethanjali Nellore

Acta Informatica Pragensia 2024, 13(1), 24-37 | DOI: 10.18267/j.aip.226623  

Stock forecasting is a complicated and daily challenge for investors because of the non-linearity of the market and the high volatility of financial assets such as stocks, bonds and other commodities. There is a need for a powerful and adaptive stock prediction model that handles complexities and provides accurate predictions. The support vector regression (SVR) model is one of the most prominent machine learning models for forecasting time series data. An ensemble hyperbolic tangent kernel SVR (HTK-SVR-BO) is proposed in this paper, combining Tanh and inverse Tanh kernels with Bayesian optimization. Combining the strengths of multiple kernels using...

Dynamic Context-Aware Recommender System for Home Automation Through Synergistic Unsupervised and Supervised Learning Algorithms

Tahar Dilekh, Saber Benharzallah, Ayoub Mokeddem, Saoueb Kerdoudi

Acta Informatica Pragensia 2024, 13(1), 38-61 | DOI: 10.18267/j.aip.228631  

Home automation, supported by smart devices and the internet of things, works to enhance household control. However, the reliance on current systems with fixed rules poses challenges, which can be inflexible and anxiety-provoking for users who want control over their smart home devices, limit responsiveness to changing conditions and affect energy efficiency, comfort and security. To address this, the paper proposes a dynamic personalized recommender system that considers the user's current state and contextual preferences to suggest relevant automation services for smart home devices. The system uses an unsupervised algorithm to extract rules from...

University Library Information Resources as a Basis for Enhancing Educational and Professional Programmes in Information, Library and Archival Studies

Nadiia Bachynska, Yurii Horban, Tetiana Novalska, Vladyslav Kasian, Nataliya Gaisynuik

Acta Informatica Pragensia 2024, 13(1), 62-84 | DOI: 10.18267/j.aip.229146  

The article aims to explore the role of information resources provided by university libraries in strengthening educational and professional programmes in the field of Information, Library and Archival Studies based on the Scientific Library of Kyiv National University of Culture and Arts. The purpose of this study is to investigate how these resources can contribute to the overall growth and development of students and professionals in the field. Using a descriptive and analytical research methodology, the study examines the diverse range of information resources available in the library, including digital databases, online journals, e-books and other...

Impact of Management Support on Business Intelligence Adoption: Illustrative Case Study Testing Different Managerial Strategies

Jakub Andar, Petra Kasparova

Acta Informatica Pragensia 2024, 13(1), 85-99 | DOI: 10.18267/j.aip.230126  

Business intelligence (BI) is a crucial tool for organizations to gain a competitive advantage on the market. BI encompasses collection, analysis and utilization of data to enhance decision-making and drive organizational innovation. The system quality or management support most often influences the success of BI projects. The present article aims to verify the importance of management support in implementing BI solutions. The research was conducted in a global shipping company. The research is based on an illustrative case study in which four managerial tactics were tested. A different form of managerial support was applied to the four newly introduced...

Understanding Consumer Perceptions About Smartwatches: Feature Extraction and Opinion Mining Using Supervised Learning Algorithm

Dhanya Manayath, Sanju Kaladharan, Nikita Venal Soman, Abith Vijayakumaran

Acta Informatica Pragensia 2024, 13(1), 100-113 | DOI: 10.18267/j.aip.231114  

Against the backdrop of increasing smartwatch usage and the dynamic landscape of evolving features, a nuanced understanding of consumer opinions and preferences is vital for tailoring features and crafting effective marketing strategies. This study addresses this imperative by conducting a comprehensive analysis of customer reviews on smartwatches, aiming to determine the pivotal factors guiding consumer purchasing decisions. By employing word clouds to visually represent sentiments, the study uncovers notable trends. Positive reviews prominently highlight the term “quality”, suggesting a strong emphasis on product excellence. In contrast,...

Review

Dynamic Pricing in E-commerce: Bibliometric Analysis

Lukáš Poláček, Miloš Ulman, Petr Cihelka, Edita Šilerová

Acta Informatica Pragensia 2024, 13(1), 114-133 | DOI: 10.18267/j.aip.2271847  

The paper is designed to present the development of scientific research into dynamic pricing in the e-commerce industry. Researchers all over the world attempt to investigate the influence of dynamic pricing on revenue and operational costs and propose models to solve operational or strategic problems in different industries, including e-commerce. In order to understand the level of development of dynamic pricing in e-commerce, a bibliometric analysis is performed. The analysis covers 153 papers collected from the Web of Science database. The analysis reveals that while dynamic pricing research is widespread, it is often explored in industries beyond...

Bibliometric Panorama of Accounting Information System Research Evolution

Hanna Mysaka, Ivan Derun

Acta Informatica Pragensia 2024, 13(1), 134-164 | DOI: 10.18267/j.aip.232127  

Accounting information systems (AIS) are closely connected with using automated accounting data processing technologies, which increase reliability and prompt information delivery to stakeholders for management decision-making. The purpose of the article is to provide the AIS research domain with an additional impetus for further development based on a comprehensive characterization of quantitative parameters and systematic rethinking of trends in the evolution of the scientific themes. The article contains the methods of bibliometric analysis and chronological literature review based on clustering of keywords from a sample of AIS research indexed...