Search Results - subject_exact:"Data Mining"

Integrating big data into sustainable supply chain management : a pathway to enhanced firm performance in Ghana's food and beverage sector

Nyamah, Edmond Yeboah; Nyamah, Evelyn Yeboah; Agbodza, Mavis - 2026

The study examines how big data analytics moderate the relationship between sustainable supply chain management practices, specifically sustainable design, procurement, and distribution, and impact firm performance in Ghana's food and beverage manufacturing sector.Data were gathered from 295...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655258

Data-driven circularity in the aerospace sector : a research perspective on cognitive MRO and generative design

Keivanpour, Samira - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015613597

Measuring economic outlook in the news

Beck, Elliot; Eckert, Franziska; Kühne, Linus; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015615555

Adaptive credit card fraud detection : reinforcement learning agents vs. anomaly detection techniques

Mekhlouf, Houda Ben; Moussaid, Abdellatif; Ghanimi, Fadoua - 2026

Credit card fraud detection remains a critical challenge for financial institutions, particularly due to extreme class imbalance and the continuously evolving nature of fraudulent behavior. This study investigates two complementary approaches: anomaly detection based on multivariate normal...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015628709

Economic instability and its effect on brand preferences : big data examination of self-image and online shopping conduct

Johnson, Nuraeni Saripudin; Purwanegara, Mustika Sufiati; … - 2026

Purpose - This study will examine how consumer brand preference is impacted by economic instability in the market of e-commerce in Indonesia, the relationship between self-image and purchasing patterns under three different periods; pre-crisis (2017-2019), crisis (2020-2022), and post-crisis...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015644381

An integrated bibliometric analysis of Benefit of the Doubt composite indicators for policy and decision analysis

Nepomuceno, Thyago; Barbosa, Flávia; Vilarinho, Hermilio; … - 2026

The Benefit of the Doubt (BoD) is a non-parametric frontier model derived from Data Envelopment Analysis (DEA), used to construct composite indicators in various sectors of economic activity, with a particular focus on macroeconomic assessments. Based on documents published in the Web of Science...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015652278

An integrated resampling and machine learning framework for predictive analytics of large wildfires

Camacho, Luís; Catry, Filipe X.; Bacao, Fernando - 2026

Accurately predicting the final burned area of wildfires at the moment of ignition is a challenging problem with important implications for disaster management and resource allocation. In this study, we apply recently developed resampling techniques, combined with machine learning algorithms, to...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015652281

Optimal text-based time-series indices

Ardia, David; Bluteau, Keven - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015667961

Adoption and impact of big data analytics in the food industry in South-Western Nigeria

Osakue, Ignatius; Muhyaddin, Sanar; Kuka, Colin; … - 2026

Within the South-Western food industry of Nigeria, the overall impact, associated challenges, and implementation of Big Data Analytics (BDA) have remained underexplored. Thus, this study aimed to investigate the extent of BDA adoption, identify key barriers and enablers, assess the operational...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015670096

Enabling innovation with big data analytics capabilities : the moderating role of organizational learning culture

Horani, Omar Mohammed; Al-Adwan, Ahmad Samed; Al-Rahmi, … - 2026

Big data analytics (BDA) capabilities for innovation are an area of growing interest; however, empirical results on this pivotal relationship remain inconclusive. This study investigates how BDA capabilities influence product, process, and business model innovation while examining the moderating...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015674870

Data clustering : a fundamental method in data science and management

Dinh, Tai; Wong, Hauchi; Lisik, Daniil; Koren, Michal; … - 2026

This study investigates the pivotal role of data clustering in both data science and management, focusing on core methodologies, tools, and diverse applications. It examines traditional clustering techniques such as partitional and hierarchical methods, alongside more advanced approaches,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015674885

Reddit’s ‘pulse’ on US inflation : forecasting with large language models

Del Monaco, Andrea; Longo, Luigi; Marcucci, Juri; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016062915

An analytical approach to sentiment extraction and decision-making using fine-tuned large language models

Thanh Ho; Nguyen, Huong - 2026

In the competitive restaurant and food service industry, customer reviews play a crucial role in assisting others to make informed decisions. However, the large volume and linguistic complexity of these reviews make it challenging to extract actionable insights effectively. To address this...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082739

A systematic review of analytical machine learning techniques for optimizing decisions in underground engineering

Niyogisubizo, Jovial; Murwanashyaka, Evariste; … - 2026

Population growth and rapid urban development have emerged as significant global challenges. These problems are causing high demand for projects constructed below the ground. Although engineers and researchers involved in underground project design are trying to find possible solutions, they...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082743

An intelligent text analytics approach to sentiment-based portfolio decision making in the electric vehicle market

Ghiassi, Manoochehr; Shah, Kush; Agrawal, Mehak; … - 2026

Investment portfolio management increasingly requires the integration of financial fundamentals with market sentiment derived from rapidly expanding online information sources. The widespread availability of real-time financial news and opinion-based content has heightened the complexity of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082745

An integrated analytics method for structured accident analysis and safety decision support in construction

Omari, Mohamad Al; Itair, Mohammed; Eslahi, Mojtaba; … - 2026

Construction sites remain high-risk environments, with thousands of accidents occurring each year. Although large amounts of accident records exist globally, much of this information is stored as unstructured free-text comments, limiting its usefulness for systematic analysis. This study...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082684

A formal concept analysis framework for data-driven insurance customer segmentation

Rungruang, Chongkolnee; Saelee, Jarunee; Intarasit, Arthit - 2026

Effective marketing strategies for customer relationship management (CRM) require identifying potential customers and their needs. Marketers can use customer segmentation through cluster analysis to develop practical and profitable business marketing plans. Formal concept analysis (FCA) is a...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082737

An object-centric approach to multi-entity Educational Process Mining

Miri, Najmeh; Khayatbashi, Shahrzad; Zdravkovic, Jelena; … - 2026

Educational Process Mining (EPM) is widely used to analyze learning processes in technology-enhanced learning environments. However, most EPM approaches remain case-centric, linking each event to a single entity (e.g., student or course), which prevents the analysis of learning situations...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082749

Implementing a data driven model for automated dynamic outlier detection during data validation

Velic, Chelsea; Frawley, Katie; Eian, Sarah - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082302

What makes monetary policy more powerful? : a big data approach

Yakut, Dilan Aydın; Byrne, David; Goodhead, Robert - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016072370

Multimodal user-generated content analysis for digital cultural tourism : an explainable machine learning approach to tourist satisfaction

Zhang, Hongyu; Shen, Kaiyuan; Lyu, Long - 2026

Digital cultural tourism is rapidly expanding, yet relevant research on tourist satisfaction predominantly relies on questionnaire surveys or unimodal textual analysis, failing to capture the comprehensive and multidimensional evidence embedded in multimodal User-Generated Content. To...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016081641

Investigating patterns of tourist movement using multiple data sources

Novais, Margarida Abreu; Del Papa, Bruno; Han, Qiwei; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016063942

Trust or distrust? : AIGC trustworthiness and an extended analysis within nomology framework

Du, Rong; Ai, Shizhong; Hunt, Richard A.; Xie, Jianing - 2026

Given the dizzying advancements in artificial intelligence (AI) applications such as ChatGPT and DeepSeek, AI-generated content (AIGC) has attracted considerable attention from scholars, practitioners, and policymakers, each of whom is grappling with fundamental issues involving individual,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016084092

The use of big data analytics in performance management : the antecedents and role in enhancing performance measurement system effectiveness

Phan, Thanh; Baird, Kevin - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016085311

Measuring data-driven innovation in firms : a multi-source approach using Large Language Models

Abbonato, Diletta; Biggi, Gianluca; Bottai, Carlo; … - 2026

This study presents a comprehensive framework for identifying and measuring Data-Driven Innovation (DDI) at the firm level. We develop a conceptual definition of DDI grounded in the chain-linked model of innovation, where data infrastructure and advanced analytics augment each stage of the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016085784

Multifactor timing with deep learning

Cotturo, Paul; Liu, Fred; Proner, Robert - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016085816

Data mining for the adjustment of credit scoring models in solidarity economy entities : a methodology for addressing class imbalances

Bermudez Vera, Ivan Mauricio; Restrepo, Jaime Mosquera; … - 2025

This study addresses the quantification of credit risk in solidarity economy entities, proposing a new methodology to redefine the concept of a "default" in the frequent situations of extreme class imbalances. The objective is to develop and evaluate credit scoring models that enhance risk...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015333680

Modeling a sustainable decision support system for banking environments using rough sets : a case study of the Egyptian Arab Land Bank

Elnagar, Mohamed A.; Aty, Jaber Abdel; Elhady, … - 2025

This study addresses the vast amount of information held by the banking sector, especially regarding opportunities in tourism development, production, and large residential projects. With advancements in information technology and databases, data mining has become essential for banks to...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015338327

Applications and competitive advantages of data mining and business intelligence in SMEs performance : a systematic review

Tsiu, Shao V.; Ngobeni, Mfanelo; Mathabela, Lesley; … - 2025

Small and medium-sized enterprises (SMEs) face unique challenges that can be effectively addressed through the adoption of data mining and business intelligence (BI) tools. This systematic literature review scrutinizes the deployment and efficacy of BI and data mining technologies across SME...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015434557

Integration of data analytics and data mining for machine failure mitigation and decision support in metal-mechanical industry

Araújo, Sidnei Alves de; Bomfim, Silas Luiz; … - 2025

Background: The growing complexity of production processes in the metal-mechanical industry demands ever more effective strategies for managing machine and equipment maintenance, as unexpected failures can incur high operational costs and compromise productivity by interrupting workflows and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015492745

Machine learning applications in finance : special issue reprint

2025 - 2nd edition

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609822

Emerging trends in tax fraud detection using artificial intelligence-based technologies

Alm, James; Belahouaoui, Rida - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015619641

Service quality dimensions in Austrian food retailing : a text mining approach for physical retail stores

Falatouri, Taha; Brandtner, Patrick; Nasseri, Mehran; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015546810

Beyond static rankings : a tourist experience-driven approach to measure destination competitiveness

Chen, Jinyan; Wu, Jie; Wang, Danni; Stantic, Bela - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015078076

Do P2P borrowers improve the quality of information disclosure? : an analysis with text mining on loan descriptions

Chen, Yuan; Feng, Ji; Li, Xun; Yu, Shijie - 2025

Most of peer-to-peer (P2P) online borrowers are small business managers. The learning behavior of borrowers in the P2P market is rarely studied. The aim of this paper is to identify the existence of borrowers' learning behavior in the P2P market using a large sample from renrendai.com, which is...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015371227

Time analysis of online consumer behavior by decision trees, GUHA association rules, and formal concept analysis

Pitka, Tomáš; Bucko, Jozef; Krajči, Stanislav; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015371478

A new probability forecasting model for cotton yarn futures price volatility with explainable AI and big data

Xia, Huosong; Hou, Xiaoyu; Zhang, Zuopeng; Abedin, … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015373998

Intelligent policy framework : natural resource conservation, knowledge and big data analytics

Xiao, Nina; Qu, Xianhe - 2025

In today's context of escalating environmental pressure, traditional methods of natural resource conservation face numerous challenges. The use of big data analytics to support the formulation of environmental policies has become a crucial approach for enhancing the efficiency and scientific...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015331637

Integrating big data with KNIME as an alternative without programming code : an application to the PATSTAT patent database

Taques, Fernando H.; Chasco Yrigoyen, Coro; Taques, … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015332176

Open-source data-driven prediction of environmental, social, and governance (ESG) ratings using deep learning techniques

Lee, Hye Lim; Hwang, Jin Ho; Ryu, Do Yeol; Kim, Jong Woo - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015332640

The impact of Big Data Analytics on firm sustainable performance

Ertz, Myriam; Latrous, Imen; Dakhlaoui, Ahlem; Sun, Shouheng - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015333319

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The Impact of Big Data Analytics on Firm Sustainable Performance

Ertz, Myriam; Latrous, Imen; Dakhlaoui, Ahlem; Sun, Shouheng - 2023

Book / Working Paper

Putting the SWORD to the test : finding workarounds with process mining

Waal, Wouter van der; Weerd, Inge van de; Beerepoot, Iris; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015333525

Asymmetric effect of airline customer opinions for service quality attributes : text mining approach

Eum, Seong-Won; Leem, Byunghak - 2025

The purpose of this study is to identify airline asymmetric attributes that affect customer satisfaction based on the three-factor theory and to build an Asymmetric Impact-Sentiment Analysis (AISA) for resource allocation prioritization. We identified food and beverage service as a basic factor;...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015334433

Extracting knowledge from customer reviews : an integrated framework for digital platform analytics

Kyriakidis, Anastasios; Tsafarakis, Stelios - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015338278

Impact of indices on stock price volatility of BRICS countries during crises : comparative study

Ruzgar, Nursel Selver - 2025

This study aims to identify the common indices having an impact on the SPV of BRICS countries during crises. To address this, the monthly data retrieved from the database of the Global Economic Monitor (GEM), World Bank, IMF International Financial Statistics data, and OECD in the period of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015338400

Unveiling the path to innovation : exploring the roles of big data analytics management capabilities, strategic agility, and strategic alignment

Sarwar, Zahid; Song, Zhi-hong; Ali, Syed Tauseef; Khan, … - 2025

Big data are known to improve operational efficiency, competitiveness, and performance. Despite these unprecedented benefits, the understanding of how big data transform organizational processes remains limited. To address this gap, this research empirically investigates how big data analytics...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015192404

Beyond digital transformation : a multi-mixed methods study on big data analytics capabilities and innovation in enhancing organizational performance

Orero-Blat, Maria; Palacios Marqués, Daniel; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015194569

A predictive analytics framework for forecasting soccer match outcomes using machine learning models

Wong, Albert; Li, Eugene; Le, Huan; Bhangu, Gurbir; … - 2025

Predicting the outcome of a sports game is a favourite pastime for sports fans and researchers. The interest has intensified in recent years due to data availability, the development and successful implementation of machine learning algorithms, and the proliferation of internet gaming. This...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015420113

A reinforcement learning and predictive analytics approach for enhancing credit assessment in manufacturing

Razaque, Abdul; Beishenaly, Aliya; Kalpeyeva, Zhuldyz; … - 2025

The fundamental issue with a credit system for manufacturers and importers of commodities is inefficient credit assessment. Traditional techniques frequently produce inaccurate risk assessments and credit scores, resulting in financial losses for lenders, missing business growth possibilities,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015420272

A machine learning approach for text pattern diagnosis in mental health consultations

Juanita, Safitri; Daeli, Anisah Hasratniwati; … - 2025

Online health consultation services are crucial for mental health support, particularly in densely populated areas. However, the heavy reliance on human expertise often leads to delays, necessitating more efficient and automated solutions. This study developed a machine learning framework to...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015420451