Search Results - subject_exact:"Entscheidungsbaum"

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://www.econbiz.de, 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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015634019

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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015549071

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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015371478

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://www.econbiz.de, 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://www.econbiz.de, 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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015474361

Bounded rationality with subjective evaluations in enlivened but truncated decision trees

Hammond, Peter J. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015453400

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://www.econbiz.de, 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://www.econbiz.de, 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://www.econbiz.de, 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://www.econbiz.de, 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://www.econbiz.de, 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://www.econbiz.de, 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://www.econbiz.de, 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://www.econbiz.de, 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://www.econbiz.de, 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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015185208

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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014546525

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

Cozzolino, Alessio; Verona, Gianmario - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015100847

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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015107888

Bayesian rationality with subjective evaluations in enlivened decision trees

Hammond, Peter J. - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015085452

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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015135754

Characterizing path-length matrices of unrooted binary trees

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

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015137823

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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015098525

Learning and modeling implicit constraints in optimization models through decision trees

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

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015162773

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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015114689

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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015114725

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://www.econbiz.de, 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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015419131

Investigating the determinants of local indebtedness in Sovakia : the machine learning approach

Maličká, Lenka - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015426561

Predicting mortgage loan defaults using machine learning techniques

Krasovytskyi, Danylo; Stavytskyy, Andriy - 2024

Mortgage default prediction is always on the table for financial institutions. Banks are interested in provision planning, while regulators monitor systemic risk, which this sector may possess. This research is focused on predicting defaults on a one-year horizon using data from the Ukrainian...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015047688

Unveiling greenwashing in Colombian manufacturing : A machine learning approach

Henao-Rodríguez, Carolina; Lis-Gutiérrez, Jenny-Paola; … - 2024

Greenwashing is the misleading use of environmental claims to market non-eco-friendly products, a growing concern as environmentally conscious consumers seek eco-friendly options. This study aims to identify factors that allow the detection of "greenwashing" practices in Colombian companies...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015047813

Gender equality : opportunities and challenges for the OR community

Carroll, Paula; Amideo, Annunziata Esposito - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014555848

Margin optimal classification trees

D'Onofrio, Federico; Grani, Giorgio; Monaci, Marta; … - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014559221

Development of a regression model for effective labour management of an IT project

Borysov, Oleksii - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015534362

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://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015653344

Decision trees do not lie : curiosities in preferences of Croatian online consumers

Filipas, Ana Marija; Vretenar, Nenad; Prudky, Ivan - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014530168

The roots of inequality : estimating inequality of opportunity from regression trees and forests

Brunori, Paolo; Hufe, Paul; Mahler, Daniel Gerszon - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014435239

Show 2 more versions 2

The roots of inequality: estimating inequality of opportunity from regression trees and forests

Brunori, Paolo; Hufe, Paul; Mahler, Daniel Gerszon - 2021

Book / Working Paper

The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees and Forests

Brunori, Paolo; Hufe, Paul; Mahler, Daniel Gerszon - 2021

Book / Working Paper

A binary decision tree approach for pharmaceutical project portfolio management

Farid, Mahboubeh; Palmblad, Mikael; Hallman, Hampus; … - 2023

In pharmaceutical R&D, decision makers face a large portion of uncertainty in portfolio decisions. Existing optimization tools are mostly based on expected values, ignoring uncertainty, and most often deliver a single, "best" selection of projects. A decision tree approach can aid decision...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014436683

An integrated methodology for enhancing reverse logistics flows and networks in industry 5.0

Dabo, Al-Amin Abba; Hosseinian-Far, Amin - 2023

Background: This paper explores the potential of Industry 5.0 in driving societal transition to a circular economy. We focus on the strategic role of reverse logistics in this context, underlining its significance in optimizing resource use, reducing waste, and enhancing sustainable production...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014454806

Is artificial intelligence really more accurate in predicting bankruptcy?

Letkovský, Stanislav; Jeňcová, Sylvia; … - 2023

Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014502270

A supervised machine learning algorithm for detecting and predicting fraud in credit card transactions

Afriyie, Jonathan Kwaku; Tawiah, Kassim; Pels, … - 2023

Fraudsters are now more active in their attacks on credit card transactions than ever before. With the advancement in data science and machine learning, various algorithms have been developed to determine whether a transaction is fraudulent. We study the performance of three different machine...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014505835

An integrated machine learning and DEMATEL approach for feature preference and purchase intention modelling

Bhattacharjee, Debraj; Ramesh, Kandela; Jayaram, E. Srinivas - 2023

This article models the purchasing intention of young Indian consumers for branded smartphones by analysing their individual preferences for the different features of the smartphone. This article selects thirteen features for analysis, and the respondents are asked to rate, which are further...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014505936

A predictive analytics model for forecasting outcomes in the National Football League games using decision tree and logistic regression

Gifford, Matt; Bayrak, Tuncay - 2023

Sports analytics has gained rapid popularity in recent years and will likely continue to evolve. In this study, we construct predictive analytics models to forecast the NFL games outcomes in a season using decision trees and logistics regression. Several variables are used as predictors...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014517330

Generating simple classification rules to predict local surges in COVID-19 hospitalizations

Yaesoubi, Reza; You, Shiying; Xi, Qin; Menzies, Nicolas A. - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014315728

Revisiting column-generation-based matheuristic for learning classification trees

Patel, Krunal Kishor; Desaulniers, Guy; Lodi, Andrea - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014368425

A Personalized Tour Recommender in Python using Decision Tree

Khan, Nayma; Haroon, Mohammad - 2023

A tourist recommendation system has been implemented based on python, Django framework and MySQL database. Firstly, crawler technology is used to crawl the ratings(reviews of customer experiences) information of TripAdvisor, and then the crawled ratings data is stored in MySQL. In the system,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014360003

To Engage or Not in Feed Rice Production -Unveiling Farmers’ Decision-Making Using Decision Tree and Text Mining

Li, Xiang; Suzuki, Nobuhiro; Ichii, Kazuhito; Liu, … - 2023

Japan's feed self-sufficiency rate is the lowest among developed countries. The Japanese government has introduced a feed rice subsidy, a flagship agricultural policy, to address this issue. However, unlike expectations, the perceived benefit of growing feed rice is low, and about 60% of farmers...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014360148

Assessing the predictive performance of machine learning in direct marketing response

Choi, Youngkeun; Choi, Jae W. - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015051116