Search Results - subject_exact:"Klassifikation"

Understanding and predicting recidivism in Latin America : a machine learning approach

Anauati, María Victoria; Romero, María Noelia; … - 2026

Recidivism is a persistent challenge for criminal justice systems worldwide, yet evidence from Latin America remains scarce. This study addresses that gap through three contributions. First, it reviews the individual, institutional, and contextual determinants of recidivism, with special...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015608807

AI-powered skill classification : mapping technology intensity in the German labor market

Genz, Sabrina; Gregory, Terry; Lehmer, Florian - 2026

The rapid evolution of technology is reshaping labor markets by altering skill demands and job profiles. This paper introduces a novel skill-based measure of occupational technology intensity - the Occupational Technology Skill Share (OTSS) - that distinguishes between manual, digital, and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015616449

Multi-criteria ordinal hierarchical classification to improve energy investment decisions

Diaz Robles, Raymundo; Granados Montelongo, Juan Antonio; … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015620384

Wireless communications equipment markets : evolution, classification, and measurement

Greenstein, Noah; Fontana, Roberto; Greenstein, Shane M.; … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015627307

Toward a Green Taxonomy in Armenia : A Working Paper

2026

The World Bank Group supports the Ministry of Economy of Armenia in developing a green taxonomy (GT) as a key step toward a sound system of identifying, selecting, and financing green and sustainable development projects and actions, and as an essential milestone toward establishing an...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015628241

Generative AI's impact on critical thinking : revisiting bloom's taxonomy

Gonsalves, Chahna - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015638236

Risk-informed machine learning models for renewal classification in motor insurance

Boonkrong, Pichit; Yang, Junwei; Huang, Xueyuan; … - 2026

This study develops an interpretable machine learning framework for type 1 motor insurance renewal classification using 70,290 real-world Thai policies, providing essential insights for pricing, customer retention, and operational decision making. The dataset was partitioned into a 70% training...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015639023

When development finance spurs entrepreneurship : new evidence from 5 million projects using a machine learning classifier

Werner, Sven; Trotter, Philipp - 2026

Development finance increasingly funds entrepreneurship in developing countries, but evidence of its impact on entrepreneurship is mixed. Existing studies analyze total development finance flows as entrepreneurship-specific development finance data did not previously exist. By training and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015639040

Advanced insurance risk modeling for pseudo-new customers using balanced ensembles and transformer architectures

Solly, Finn L.; Soriano-Gonzalez, Raquel; Juan, Angel A.; … - 2026

In insurance portfolios, classifying customers without a prior history at a given company is particularly challenging due to the absence of historical behavior, extreme class imbalance, heavy-tailed loss distributions, and strict operational constraints. Traditional machine learning approaches,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015640346

Predicting stock market risk using machine learning classification models

Noh, Seol-Hyun - 2026

This study aims to predict stock market risk and improve preparedness for potential economic crises by identifying sharp declines in stock returns using classification-based machine learning models. Using ten years of KOSPI 200 index data (2015 to 2024), a daily return series was constructed. A...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015640349

Azerbaijan National Green Taxonomy : Recommendation Report

2026

The Azerbaijan National Green Taxonomy Recommendation Report (the Recommendation Report) was developed in response to a technical assistance request from the Central Bank of Azerbaijan and the Azerbaijan Sustainable Finance Expert Group in April 2024. It contributes to the formulation of the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015656066

A taxonomy of hybrid value logics : how social enterprises combine institutional logics differently

Jakob, Eva Alexandra; Sundermeier, Janina - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015656229

A unified approach to extract interpretable rules from tree ensembles via Integer Programming

Bonasera, Lorenzo; Carrizosa, Emilio - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015534419

AI-driven peer company identification : a semantic text-similarity approach beyond traditional industry classification systems

Jagrič, Timotej; Herman, Aljaž - 2026

Traditional classification systems, such as NACE and NAICS, primarily classify businesses by industry, limiting their ability to identify related companies. Objectives: This research aims to improve the identification of related companies by analysing their descriptions, utilising a more...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015667949

Personalised passenger information systems in public transport : a review and a 5-level personalisation taxonomy

Ardenne, Michelle T. van; Cebecauer, Matej; Cats, Oded; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015547224

Me, Myself, and My AI : how artificial intelligence classification failures threaten consumers' self-expression

Lopes, Ana Rita Gonçalves; Pinto, Diego Costa; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015156892

Evaluation of the performance of data classification models for aerial imagery under resource constraints

Prystavka, Pylyp; Cholyshkina, Olha; Zivakin, Valerii; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015549098

Enhancing multi-criteria inventory classification : resolving boundary issues with VIKOR-Fuzzy Sorting

Khan, Jehangir; Ishizaka, Alessio; Babai, M. Zied - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015373740

Mandatory disclosure of standardized sustainability metrics : the case of the EU Taxonomy Regulation

Nipper, Marvin; Ostermaier, Andreas; Theis, Jochen C. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015333445

Using machine learning to identify hidden constraints in vehicle routing problems

Konovalenko, Anna; Hvattum, Lars Magnus; Msakni, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015338572

The impact of EU Taxonomy for Sustainable Activities on European utilities' performance

Tonnarello, Federica; Vermiglio, Carlo; Migliardo, Carlo; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015358097

The expert assessor perspective on assessment center taxonomies

Jackson, Duncan J. R.; Michaelides, George; Dewberry, Chris - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015197341

A hybrid model of machine learning for classifying household water-consumption behaviors

Wang, Miao; Li, Zonghan; Liu, Yi; Lin, Lu; Wang, Chunyan - 2025

Classifying household water-consumption behaviors is crucial for providing targeted suggestions for water-saving behaviors and enabling effective resource management and conservation. Although it is common knowledge that energy consumption is closely coupled with household water consumption, the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015393861

Pricing in spatial classification system in non-symmetric market demand based on the calculations of double interval grey numbers

Amini, Maryam; Mahmoodi, Armin; Hashemi, Leila; Aslani, … - 2025

Purpose - The contemporary landscape of supply chains necessitates a comprehensive integration of multiple components encompassing production, distribution and customer engagement. The pursuit of supply chain harmony underscores the significance of pricing strategies within the framework of...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015395089

Agricultural land-use classification on satellite data using machine learning

Nguyen, Thao-Ngan; Nguyen Van-Ho - 2025

Background: The utilization of satellite images has become increasingly popular for detecting land usage, focusing on agricultural land classification in recent years, due to the significant decline in bees. Objectives: This paper seeks to address these challenges by applying several machine...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015417567

In-store technology personalization : a typology and research agenda based on type of automation and data collection

Merfeld, Katrin; Klein, Jan F.; Regt, Anouk de; Baltin, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015419928

A shadow-based framework for label noise detection and data quality enhancement

Zheng, Wanwan - 2025

Machine learning algorithms are typically evaluated using benchmark datasets under the assumption that these datasets are clean. However, recent studies have revealed the presence of label noise in many benchmark datasets, indicating a biased evaluation to date. Confident learning (CL), an...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420492

Beyond "dichotomania" : drawing new worlds for global policies

Rioux, Rémy; Melonio, Thomas; Naudet, Jean-David - 2025 - Draft

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015422734

Fintech classification methodology

Lentini, Alessandro; Munteanu, Daniela Elena; Zennaro, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015422801

Reply to Comment on "EU Taxonomy: Mission Impossible”

Kooths, Stefan - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015423291

Do analysts matter for green investment? : evidence from the EU taxonomy

Davrinche, Grégoire; Filbien, Jean-Yves; Vigneron, Ludovic - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015463439

Hierarchical optimization for coordinated charging of EVs : models, taxonomy, and outlook

Rojo-Gonzalez, Luis; Anjos, Miguel F.; Brotcorne, Luce; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015467546

The taxonomy of tail risk

Stoja, Evarist; Polanski, Arnold; Nguyen, Linh - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015468101

Enhancing stock market predictions for classifying unlabelled celebrities' twitter data

Baljinder Singh; Kaur, Mandeep; Gurbinder Singh Brar; … - 2025

This work introduces a novel method for sentiment analysis in the stock market by combining Deep Neural Networks (DNN) and an improved Firefly Algorithm (FA). It is essential to comprehend investor sentiment in financial markets in order to forecast stock price movements and make wise investment...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015468119

Predicting out-terminals for imported containers at seaports using machine learning : incorporating unstructured data and measuring operational costs due to misclassifications

Xie, Ying; Song, Dongping; Dong, Jingxin; Feng, Yuanjun - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015451887

AI meets spend classification : a new frontier in information processing

Guida, Michela; Caniato, Federico; Moretto, Antonella - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015453658

The evolving boundary of green technology

Barbieri, Nicolò; Hötte, Kerstin; Persoon, Peter - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015412113

Effective strategies for the prediction of aircraft passenger seat (dis-)comfort based on Time Series Classification

Vanacore, Amalia; Ciardiello, Armando - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015431592

Financial sentiment analysis and classification : a comparative study of fine-tuned deep learning models

Nasiopoulos, Dimitrios; Roumeliotis, Konstantinos I.; … - 2025

Financial sentiment analysis is crucial for making informed decisions in the financial markets, as it helps predict trends, guide investments, and assess economic conditions. Traditional methods for financial sentiment classification, such as Support Vector Machines (SVM), Random Forests, and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015435824

A taxonomy for data-driven business models

Hanafizadeh, Payam; Ashhari, Reza - 2025

The utilization of data presents significant opportunities for enhancing business models and generating value. Consequently, the integration of data into value creation processes has given rise to the emergence of data-driven business models. This study aims to delineate and introduce diverse...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015435899

Transnational leadership as a blindspot in EU democracy

Alemanno, Alberto - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015436384

Suitability of a county-level income definition for analysis of lower-income communities

Troland, Erin; Agnes, Isabella; Dries, Ellie; Liu, Jessica - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015437942

Binary classification with the maximum score model and linear programming

Horowitz, Joel; Lee, Sokbae - 2025

This paper presents a computationally efficient method for binary classification using Manski's (1975,1985) maximum score model when covariates are discretely distributed and parameters are partially but not point identified. We establish conditions under which it is minimax optimal to allow for...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015439509

Rule generation for classification : scalability, interpretability, and fairness

Röber, Tabea E.; Lumadjeng, Adia C.; Akyüz, M. Hakan; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015460224

Hedge fund performance, classification with machine learning, and managerial implications

Platanakis, Emmanouil; Stafylas, Dimitrios; Sutcliffe, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015462017

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Hedge Fund Performance, Classification With Machine Learning, and Managerial Implications

Platanakis, Emmanouil; Stafylas, Dimitrios; Sutcliffe, … - 2023

Book / Working Paper

Enhancing customer repurchase prediction : integrating classification algorithms with RFM analysis for precision and actionable insights

Verma, Rakesh; Rathor, Devesh; Kumar, Saurabh; Mishra, … - 2025

Accurate prediction of customer repurchase behaviour is vital for businesses aiming to boost customer retention. This study introduces an advanced approach that merges classification algorithms with RFM analysis, a widely adopted framework in customer relationship management. The proposed models...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015444242

NACE Rev. 2.1 : statistical classification of economic activities in the European union : 2025 edition

2025 - 2025 edition

This publication provides guidance to producers of statistics about the classification of economic activities according to NACE Rev. 2.1. At the same time, it enables statistics users to better understand official statistics based on NACE Rev. 2.1.

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015431203

Machine learning analysis of financial risk dynamics in micro-, small, and medium enterprises

Božović, Dražen; Perović, Nataša; Aleksić, Marinko; … - 2025

This study examines the use of artificial neural networks (ANNs) to classify financial risks in micro-, small-, and medium-sized enterprises (MSMEs) in Montenegro and the wider Western Balkan region. The economies in this region share structural similarities, such as a high concentration of...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015561615

A robust support vector machine approach for Raman data classification

Piazza, Marco; Spinelli, Andrea; Maggioni, Francesca; … - 2025

Recent advances in healthcare technologies have led to the availability of large amounts of biological samples across several techniques and applications. In particular, in the last few years, Raman spectroscopy analysis of biological samples has been successfully applied for early-stage...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015506507

An analytics approach to extracting location and sentiment insights from classified social media data

Lovera, Fernando; Cardinale, Yudith - 2025

Social networks are becoming vital for people to interact with each other, which in turn represent the production of a huge amount of information that can be useful in many contexts (e.g., medicine, natural disasters, commercial purposes, tourism). Nevertheless, analyzing such Big Data for...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015506764