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Analytics
Scopus
ISSN 2813-2203 · MDPI AG · 148 artikel di indeks
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Artikel Jurnal Teks lengkap
Class Cardinality as a Source of Prediction Uncertainty in E-Commerce Customer Analytics
Class imbalance and class cardinality both affect multiclass classification, but their influence on probabilistic estimation has been less explored. This study examines these impacts using an e-commerce dataset. The study follows a four-stage methodology comprising classifier comparative…
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Grünwald–Letnikov Fractional Ensemble with α-Specific Power Weighting for Multi-Cancer Classification
Standard ensemble classifiers assign weights based on performance over a single feature space, leaving multi-scale fractional representations unexplored as a tabular augmentation strategy. This study proposes the FRAE (Fractional-order Recalibrated Adaptive Ensemble) framework, which applies…
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Determinants of Insurance Inclusion in an Emerging Market: A Moderated-Mediation PLS-SEM Analysis of Financial and Insurance Literacy in Uzbekistan
Insurance inclusion remains low across emerging markets; Uzbekistan, with penetration below 1% of GDP, is one example. The main goal of this study is to identify the behavioural determinants of insurance inclusion by testing an integrated moderated-mediation model, grounded in the Theory of…
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TEI, Taxonomies, and Semantic Data Governance for Documented LLM-Assisted Literary Analytics
This article examines how TEI-based digital archives and human-curated annotation layers can support documented uses of large language models in literary analytics. It argues that structured textual infrastructures strengthen the conditions for evaluating and interpreting LLM outputs by making…
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PEAO: A Cooperative Parallel Enzyme Optimization Algorithm with Adaptive Search Mechanisms
Bio-inspired optimization algorithms have become an effective class of techniques for addressing challenging continuous optimization problems. In this work, we introduce the Parallel Enzyme Action Optimization (PEAO) algorithm, a parallel bio-inspired optimization approach that incorporates a…
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Financial Literacy and Business Performance: Evidence from Rural Female Micro-Entrepreneurs in Khorezm, Uzbekistan
This study examines how distinct dimensions of financial literacy relate to the business performance of rural female micro-entrepreneurs in a transition economy. Drawing on the Resource-Based View, Human Capital Theory, and Entrepreneurial Capability Theory, financial literacy is conceptualized as…
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Lighting the Dark Side of the Model: Psychometric Probing of Dark Triad Responses in LLMs
Background: Large language models (LLMs) are increasingly deployed in socially sensitive contexts, raising concerns about how their outputs reflect or reproduce socially aversive response patterns. Prior research has focused on socially desirable traits (e.g., the Big Five), while less attention…
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Intelligent Business Document Processing Using AI- and NLP-Based Techniques: A Systematic Literature Review
This systematic literature review examines the application of artificial intelligence (AI) and natural language processing (NLP) techniques in intelligent business document processing. The study systematically analyses 46 peer-reviewed articles published between 2014 and 2025 and indexed in the…
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Co-Evolution of Artificial Intelligence and Green Technological Innovation: A Computational Mapping and Diagnostic Framework
Artificial intelligence (AI) is increasingly recognised for its transformative implications for sustainability transitions. Yet little is known about how AI co-evolves with green technological innovation systems and whether institutional adaptation keeps pace with technological diffusion. This…
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Minimal but Conditional: Auditing Demographic Bias in Large Language Model Résumé Evaluation Across Commercial and Open-Weight Models
Large language models are increasingly used to read résumés and judge who advances in hiring, a task once reserved for people and now handed to systems whose reasoning is hard to inspect. Whether these models carry the demographic biases that have long shaped human hiring is therefore an urgent…
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Machine Learning-Based Crisis Detection Framework for Banking Systems: A Case Study of Nigeria
Banking crises are a persistent threat to macroeconomic stability in emerging markets, where conventional econometric monitoring frameworks often fail to capture non-linear macro-financial relationships. This paper examines whether machine learning algorithms can improve the detection of banking…
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Exploring the AHP-AgileITS-ArchDesign: An AHP Model and Tool for Evaluating IT Service Architectural Agile Designs in SMBs
The design of IT services—including the architectural design—is considered a core activity to obtain a cost-effective IT service. Consequently, the main extant IT service frameworks and standards—rigorous and lightweight-agile types—aim to provide guidance for this purpose. However, some of them…
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Structural Inequities and Mathematics Achievement in Alabama Public Schools
Demographic disparities in mathematics proficiency have been a persistent issue in the United States public schools for the entire history of the public school system. Previous research suggests that schools serving predominantly minority students often face challenges related to fewer certified…
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Visualising Machine Learning Model Outputs in Data Analytics: A Systematic Review
As data analytics increasingly rely on machine learning models for forecasting, classification, and prediction, effective visualisation becomes essential for transforming model outputs into practical insight. Yet the ways these outputs are visualised, and the evidence supporting those designs…
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Feedback-Guided Prompt Injection Defense in Retrieval-Augmented Text-to-Cypher Generation
Text-to-Cypher generator systems translate natural language questions into Cypher queries, enabling intuitive interactions with graph databases such as Neo4j and Amazon Neptune. Despite recent advancements in LLM-based Cypher query generation, the vulnerabilities of the known methods—such as prompt…
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Behavioral Biases and Retail Investment Decisions in India: The Moderating Role of Financial Literacy and Financial Awareness
This study investigates how behavioral biases influence the investment decisions of retail investors in Kolkata, India, with particular emphasis on the moderating roles of financial literacy and financial awareness. Despite the rapid expansion of India’s financial markets and increased retail…
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Modeling Community Resilience Under Prolonged Disruption: An Agent-Based Framework Integrating Social Connectivity, Migration, and Policy-Driven Allocation
Communities under prolonged disruptions operate as interconnected socio-technical systems in which the effectiveness of any response depends not only on local conditions but also on the structural relationships that link communities to one another. This study introduces an agent-based response…
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The Information Entropy Performance Indicator (IEPI): A Deterministic BPMN Analytics Artifact for Routing-Uncertainty Diagnostics and Viability Assessment
Business Process Management (BPM) process models represent routing behaviour through control-flow constructs, yet BPMN 2.0 does not provide a native mechanism for quantifying uncertainty associated with routing decisions. This study presents the Information Entropy Performance Indicator (IEPI) as a…
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A Unified Benchmark of Machine Learning and Deep Neural Networks for Tennis Match Prediction
Tennis match prediction has been studied extensively, yet the literature offers no controlled comparison of Elo ratings, classical machine learning, and deep neural networks under identical experimental conditions, leaving practitioners without clear guidance on model selection. We address this gap…
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Configuration-Aware Bayesian Shelf Inference for Mobile RFID Library Inventory
Mobile RFID inventory in libraries must be planned and evaluated under noisy observations, configuration-dependent read regimes, and incomplete supervision. This paper presents an uncertainty-aware analytics framework for robot-assisted RFID inventory using the public RFID Location dataset. The…