Search Results - subject:"data mining"

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; … - In: Risks : open access journal 13 (2025) 2, pp. 1-16

. Data mining techniques are applied to address class imbalances, redefining the term "default" to include external credit …

Persistent link: https://www.econbiz.de/10015333680

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

Xia, Huosong; Hou, Xiaoyu; Zhang, Zuopeng; Abedin, … - In: Journal of forecasting 44 (2025) 1, pp. 112-135

Persistent link: https://www.econbiz.de/10015373998

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, … - In: International Journal of Financial Studies : open … 13 (2025) 1, pp. 1-24

, data mining has become essential for banks to optimally utilize available data. From January 2023 to July 2024, data from … the Egyptian Arab Land Bank (EALB) were analyzed using data mining techniques, including rough set theory and the Weka … total units) as having the highest marketing potential. This study highlights data mining's role in enhancing marketing for …

Persistent link: https://www.econbiz.de/10015338327

Mining online hotel reviews using big data and machine learning : an empirical study from an emerging country

Le, Hanh Thi My; Phan-Thi, Thuy-An; Nguyen, Binh T.; … - In: Annals of tourism research empirical insights 6 (2025) 1, pp. 1-14

This paper presents a framework for collecting large datasets of hotel reviews (e.g., from Booking.com and TripAdvisor) and performing useful analytics from the data collected. This approach automates data collection, reduces manual effort, enhances data cleaning, and standardizes data...

Persistent link: https://www.econbiz.de/10015416200

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

Tsiu, Shao V.; Ngobeni, Mfanelo; Mathabela, Lesley; … - In: Businesses 5 (2025) 2, pp. 1-49

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 sectors, assessing their impact on operational efficiency, strategic … operational settings. However, a considerable number of studies (66.67%) do not specify the BI tools or data mining techniques …

Persistent link: https://www.econbiz.de/10015434557

Social media and logistics : uncovering challenges and solutions through YouTube data

Naganawa, Hisatoshi; Hirata, Enna - In: Logistics 9 (2025) 2, pp. 1-21

Background: Logistics challenges, such as driver shortages, are a major global issue, with many countries struggling to find effective solutions. YouTube, as a social networking platform, has a growing user base and is increasingly used not only for entertainment but also for social interaction,...

Persistent link: https://www.econbiz.de/10015437415

The impact of Big Data Analytics on firm sustainable performance

Ertz, Myriam; Latrous, Imen; Dakhlaoui, Ahlem; Sun, Shouheng - In: Corporate social responsibility and environmental management 32 (2025) 1, pp. 1261-1278

Persistent link: https://www.econbiz.de/10015333319

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

Waal, Wouter van der; Weerd, Inge van de; Beerepoot, Iris; … - In: Business & information systems engineering 67 (2025) 2, pp. 171-190

Persistent link: https://www.econbiz.de/10015333525

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

Eum, Seong-Won; Leem, Byunghak - In: Businesses 5 (2025) 1, pp. 1-17

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://www.econbiz.de/10015334433

A fused large language model for predicting startup success

Maarouf, Abdurahman; Feuerriegel, Stefan; Pröllochs, … - In: European journal of operational research : EJOR 322 (2025) 1, pp. 198-214

Persistent link: https://www.econbiz.de/10015410204