Search Results - subject_exact:"CHAID"

Estimation of the price of natural gas in Mexico using a decision tree model

García-Pérez, Luis Enrique; Venegas-Martínez, Francisco - 2026

Mexico liberalized natural gas prices in 2017 by establishing the National Wholesale Natural Gas Price Index (IPGN). This institutional change created observable conditions where prices could deviate from efficiency. We classified these deviations into three regimes: stability, overestimation...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015603946

AI-driven bankruptcy prediction in manufacturing SMEs : comparing machine learning techniques with logistic regression

Letkovský, Stanislav; Jenčová, Sylvia; … - 2026

Bankruptcy prediction is currently a widely researched topic, as it typically results from a chain of negative events. Logistic Regression (LR) is one of the standard prediction tools; however, with advances in technology, machine learning (ML) methods are gaining prominence and demonstrating...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015634019

Survey-to-Survey Imputation for Estimating Poverty : Operational Decision Tree for Assessing Feasibility, Risk, and Needed Validations

Genoni, Maria Eugenia; Stemmler, Henry; Corral, Paul; … - 2026

Survey-to-survey imputation (S2S) is widely used to estimate poverty when a target survey lacks the consumption or income aggregate needed for direct welfare measurement. This guidance note provides a practical framework for deciding when S2S is credible, when it is high risk, and when...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016069799

The consumer intention to use e-commerce applications in the post-pandemic era: A predictive approach study using a CHAID tree-based algorithm

Higueras-Castillo, Elena; Alves, Helena; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015454524

Predicting the duration of goods transportation delays based on machine learning methods

Mirzaei, Hossein; Daneshvar, Amir; Nahavandi, Bijan - 2025

This study aims to improve the accuracy of transportation delay prediction in supply chains by developing a machine learning-based model. The proposed approach addresses the challenges of parameter tuning and feature selection by integrating the Firefly Algorithm with decision tree regression,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015549071

Development of a fashion recommendation system with consumers' zero-party data applying the CART decision-tree model

Choi, Woojin; Kim, Ha Youn; Choi, Bongjun; Moon, Jaesik - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015653344

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

Inequality of opportunity in educational achievement in China : a machine learning approach

Jiang, Qiuchuan; Zhao, Weiwei; Zhang, Kun - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015672693

Enhancement of new random forest algorithm to predict the employee attrition rate

Ramachandran, Rukma; Murugesan, Vijaya Prabhagar; Babu, … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016059291

The consumer intention to use e-commerce applications in the post-pandemic era : a predictive approach study using a CHAID tree-based algorithm

Higueras-Castillo, Elena; Alves, Helena; … - 2025

Purpose This study proposes a hierarchic segmentation that develops a tree-based classification model and classifies the cases into groups. This allows for the definition of e-commerce user profiles for each of the groups. Additionally, it facilitates the development of actions to improve the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015372661

Learning from the aggregated optimum : managing port wine inventory in the face of climate risks

Pahr, Alexander; Grunow, Martin; Amorim, Pedro - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015417109

Minimal-chain retrieval in binary composition trees for time-dependent route scheduling

Bornay, Bahman; Gendreau, Michel; Gendron, Bernard - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015463346

Forest through the trees : building cross-sections of stock returns

Bryzgalova, Svetlana; Pelger, Markus; Zhu, Jason - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015474361

Bounded rationality with subjective evaluations in enlivened but truncated decision trees

Hammond, Peter J. - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015453400

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Bounded rationality with subjective evaluations in enlivened but truncated decision trees

Hammond, Peter J. - 2025

Book / Working Paper

Real option valuation of an emerging renewable technology design in wave energy conversion

DiLellio, James A.; Butler, John C.; Rizaev, Igor; … - 2025

The untapped potential of wave energy offers another alternative to diversifying renewable energy sources and addressing climate change by reducing CO2 emissions. However, development costs to mature the technology remain significant hurdles to adoption at scale and the technology often must...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015408163

A comparative evaluation of machine learning approaches for container freight rates prediction

Kim, Namhun; Cha, Junhee; Jeon, Junwoo - 2025

This study evaluates the predictive performance of four models-Decision Tree, Random Forest, Prophet, and LSTM-in forecasting container freight rates, a key metric for strategic decision-making in the shipping industry. To address data heterogeneity, Min-Max normalization was applied, and the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015436364

Rule‐based transport mode classification in a smart travel and mobility survey

Fourie, Jurgens; Klingwort, Jonas; Gootzen, Yvonne - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015444203

Growing the efficient frontier on panel trees

Cong, Lin William; Feng, Guanhao; He, Jingyu; He, Xin - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015564639

A novel generalised extreme value gradient boosting decision tree for the class imbalanced problem in credit scoring

Zhang, Junfeng; Calabrese, Raffaella; Dong, Yizhe - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015551949

Industrial exports and global carbon emissions : assessing the impact of the US and China using a decision tree algorithm

Abdelsamiea, Abdelsamiea Tahsin; Abd El-Aal, Mohamed F. - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015555152

Understanding reverse mortgage acceptance in Spain with explainable machine learning and importance-performance map analysis

Andrés Sánchez, Jorge de; González-Vila Puchades, Laura - 2025

In developed countries such as Spain, where the population is increasingly aging, retirement planning and longevity risk represent major societal challenges. In Spain, in particular, a significant proportion of household wealth is concentrated in real estate, primarily in the form of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015556334

A machine learning framework for uplift modeling through customer segmentation

Pinheiro, Paulo; Cavique, Luis - 2025

In uplift modeling, the goal is to identify high-value customers based on persuadable customers, those who make a purchase only if contacted. To achieve this, uplift modeling combines machine learning techniques with causal inference, allowing businesses to refine their customer targeting...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015586630

Policy learning for many outcomes of interest : combining optimal policy trees with multi-objective Bayesian optimisation

Rehill, Patrick; Biddle, Nicholas - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015590903

Predicting bank distress in Europe : using machine learning and a novel definition of distress

Malikkidou, Despo; Strohbach, Wolfgang - 2025

This paper develops an early warning system for predicting distress for large European banks. Using a novel definition of distress derived from banks' headroom above regulatory requirements, we investigate the performance of three machine learning techniques against the traditional logistic...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015185208

Length-minimizing LED trees

Remešíková, Mariana Sarkociová; Sarkoci, Peter; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015675502

Development of a personalized learning trajectory using a brain-computer interface

Gasimov, Huseyn; Alibeyli, Turkan; Hesenli, Hesen; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016061081

Using decision trees to predict insolvency in Spanish SMEs : is early warning possible?

Navarro Galera, Andrés; Lara-Rubio, Juan; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015195758

A decision support system for configuring spare parts supply chains considering different manufacturing technologies

Cantini, Alessandra; Peron, Mirco; De Carlo, Filippo; … - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014546525

A selection procedure for the design of mixed-model assembly systems considering walking workers and fixed workers

Calzavara, Martina; Faccio, Maurizio; Finco, Serena; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015198529

Decision tree for adaptation after radical changes : linking dynamic capabilities, ambidexterity, and strategic alliances

Cozzolino, Alessio; Verona, Gianmario - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015100847

A polyhedral study of multivariate decision trees

Michini, Carla; Zhou, Zachary - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015423295

A novel feature selection method with transition similarity measure using reinforcement learning

Bouchlaghem, Younes; Akhiat, Yassine; Touchanti, Kaouthar; … - 2024

Feature selection identifies the relevant features and removes the irrelevant and redundant ones, intending to obtain the best-performing feature subset. This paper proposes a new feedback feature selection system with a reinforcement learning-based method to identify the best feature subset....

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015107888

Bayesian rationality with subjective evaluations in enlivened decision trees

Hammond, Peter J. - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015085452

A model for predicting dropout of higher education students

Rabelo, Anaíle Mendes; Zárate, Luis Enrique - 2025

Higher education institutions are becoming increasingly concerned with the retention of their students. This work is motivated by the interest in predicting and reducing student dropout, and consequently in reducing the financial losses of said institutions. Based on the characterization of the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015454718

Credit risk assessment and financial decision support using explainable artificial intelligence

Nallakaruppan, M. K; Chaturvedi, Himakshi; Grover, Veena; … - 2024

The greatest technological transformation the world has ever seen was brought about by artificial intelligence (AI). It presents significant opportunities for the financial sector to enhance risk management, democratize financial services, ensure consumer protection, and improve customer...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015135754

Machine learning-based approach to identify human push recovery using GAIT analysis

Niranjani, S.; Punniyamoorthy, Murugesan; Lakshmi, G. - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015407136

Characterizing path-length matrices of unrooted binary trees

Catanzaro, Daniele; Pesenti, Raffaele; Ronco, Roberto - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015137823

K-Tree : crossing sharp boundaries in regression trees to find neighbors

Tian, Xuecheng; Wang, Shuaian; Zhen, Lu; Shen, Zuo-Jun - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015433101

E-commerce cross-border and domestic dynamics : decision tree and spatial insights on seller origin impact

Grishchenko, Natalia - 2024

Despite the cross-border availability of almost all goods and services online due to global Internet access, the domestic origin of sellers remains significant. This study examines the preferences for domestic versus cross-border goods and services in online purchases in the EU online market...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015098525

A genetic programming-based credit risk assessment model

Vashishtha, Ashutosh; Andotra, Shivankit; Pandit, Amit Kant - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015458731

Learning and modeling implicit constraints in optimization models through decision trees

Bayani, Mahdis; Adulyasak, Yossiri; Rousseau, Louis-Martin - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015162773

Search for an immobile hider on a binary tree with unreliable locational information

Alpern, Steve; Lidbetter, Thomas - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015445379

Student performance prediction with decision tree ensembles and feature selection techniques

Ahmad, Amir; Ray, Santosh; Khan, Md. Tabrej; Nawaz, Ali - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015593220

How do consumers' attitudes differ across their basic characteristics toward live-streaming commerce of green agricultural products : a preliminary exploration based on correspondence analysis, logistic regression and decision tree

Wang, Ying; Lan, Jiahui; Pan, Jialing; Fang, Lin - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015114689

Developing a decision tree to improve a maturity model's usability : an example for digital work maturity

Jafari, Pooria; Looy, Amy van - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015593479

A hybrid stochastic data envelopment analysis and decision tree for performance prediction in retail industry

Lagzi, Mohammad Dana; Sajadi, Seyed Mojtaba; Yazdi, … - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015114725

A reciprocity between tree ensemble optimization and multilinear optimization

Kim, Jongeun; Richard, Jean-Philippe P.; Tawarmalani, Mohit - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015550397

Consumer credit risk analysis through artificial intelligence : a comparative study between the classical approach of logistic regression and advanced machine learning techniques

Ghoujdam, Mousaab El Khair; Chaâbita, Rachid; … - 2024

This research article presents a comparative analysis between logistic regression as a traditional method, artificial neural networks (ANNs), and decision tree as machine learning techniques for predicting credit risk. It meticulously examines and evaluates these three methods, elucidating their...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015211216

A predictive analytics model with Bayesian-Optimized Ensemble Decision Trees for enhanced crop recommendation

Motamedi, Behnaz; Villányi, Balázs - 2024

Researchers have been working on developing new effective, reliable, and environmentally friendly crop recommendation systems. This study introduces a thorough framework for predicting crop recommendations by combining sophisticated machine learning (ML) classifiers with a multi-class...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015419131

Does cultural distance matter? : a decision tree machine-learning exploration on international travellers' destination choices

Huang, Guei-Hua; Cho, Yung-Jan - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015584562