Search Results - subject:"Data Mining"

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

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

Triadic concept analysis for insights extraction from longitudinal studies in health

Santos, João Pedro; Silva, Atílio Ferreira; Mendes, … - In: Data science and management : DSM 8 (2025) 2, pp. 160-173

In the health field, longitudinal studies involve the recording of clinical observations of the same sample of patients over successive periods, referred to as waves. This type of database serves as a valuable source of information and insights, particularly when examining the temporal aspect,...

Persistent link: https://www.econbiz.de/10015455582

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

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

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

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

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; … - In: Logistics 9 (2025) 3, pp. 1-16

data mining methods to proactively predict and mitigate such failures. This study aims to develop and validate a … comprehensive framework combining data analytics and data mining to prevent machine failures and support decision-making in a metal …

Persistent link: https://www.econbiz.de/10015492745

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 - In: International studies of economics 20 (2025) 1, pp. 23-42

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://www.econbiz.de/10015371227

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

Pitka, Tomáš; Bucko, Jozef; Krajči, Stanislav; … - In: Journal of marketing analytics : JMA 13 (2025) 1, pp. 29-52

Persistent link: https://www.econbiz.de/10015371478