... 16 01 2026 © 2026 Emerald Publishing Limited 2026 Emerald Publishing Limited Licensed re-use rights only Accounting Data mining Environmental management Management information systems Sustainability accounting is a framework for defining, measuring and reporting...

...Mohammed Ayoub Ledhem; Warda Moussaoui Purpose This paper aims to apply several data mining techniques for predicting the daily precision improvement of Jakarta Islamic Index (JKII) prices based on big data of symmetric volatility in Indonesia’s Islamic stock market. Design/methodology/approach...

... Limited 2021 Emerald Publishing Limited Licensed re-use rights only Artificial intelligence Modeling Decision analysis Data mining Cost analysis Meta-learning Cost-sensitive algorithms Machine learning algorithms This research is motivated by the fact that it is now widely...

...Mohammed Ayoub Ledhem Purpose The purpose of this paper is to apply various data mining techniques for predicting the financial performance of Islamic banking in Indonesia through the main exogenous determinants of profitability by choosing the best data mining technique based on the criteria...

... of innovation, particularly, in green computing adoption. Decision-making Algorithms Decision support systems Data mining Computing Operations research In recent years, scholars have become increasingly interested in green computing. Such progress has been significantly influenced by increasing...

... for use in the classification of unstructured hotel reviews. Design/methodology/approach Well-known data mining methods (i.e. boosted decision trees (BDT), classification and regression trees (C&RT) and random forests (RF)) in conjunction with incorporating five-fold cross-validation are used...

... Environmental management Data mining Replacement Environmental research Sewer asset management Logistic regression models Random Forest models Linear discriminant analysis models Support vector machines models Proactive management The nearly unmitigated growth of cities has placed ever-greater...

... 11 2020 28 12 2020 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Econometrics Data mining Hotel sales Aspect ratings Review length Review readability RevPAR Log-linear regression The past few decades have witnessed...

.... Literature review Meta-analysis Graph theory Evidence-based Gephi Social networks Data mining In the digital era, high-tech information technology and communication facilities enable research communities to access volumes of research on their desktops. In today’s techno-connected world...

... productivity. The findings computed through regression analysis indicated that an overall index of disaster risks negatively affected the dairy supply chain performance. Aries Susanty can be contacted at: ariessusanty@gmail.com Data analysis Supply chain management Data mining Causal...

...). The origin of text mining is related to KDT. Currently, text mining can be considered synonymous with KDT. Nomenclatures such as data mining in text or knowledge discovery in textual databases (Correia and Gonçalves, 2017) can also be found in the literature. Other terms that have been used as synonyms...

...Bikash Kanti Sarkar; Shib Sankar Sana Purpose The purpose of this study is to alleviate the specified issues to a great extent. To promote patients’ health via early prediction of diseases, knowledge extraction using data mining approaches shows an integral part of e-health system. However...

... on credit risk. These sampling strategies may help financial institutions to reduce the erroneous classification costs in comparison with the unbalanced original data and may serve as a means for improving the bank’s performance and competitiveness. Thus, data mining techniques can also be adopted...

... Modelling Data mining Table I. Financial ratios for the US companies Financial factor Financial ratios Cash flow factors (5) X₁: OANCF/LCT X₂: OANCF/DT X₃: CH/SALE X₄: OANCF/NI X₅: OANCF/CSHI Profitability factors...

... on various attributes as an input to the demand forecasting in a retail store. The paper suggests a data mining model which has been used for forecasting of demand. The proposed model has been applied for forecasting demands of eight SKUs for grocery items in a supermarket. Based on the proposed forecasting...

... The proposed methodology is an innovative technique that provides more accurate accounting information in the restaurant industry. © Emerald Group Publishing Limited 2011 Activity‐based costing Modelling Simulation Data mining Restaurants Cost drivers Interest in cost and management...