Results 161 to 170 of about 615,163 (297)
Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS). [PDF]
Ahmad H +3 more
europepmc +1 more source
ABSTRACT Coffee producers deal with uncertainty due to high volatility in coffee prices. To navigate these challenges, producers must balance the tradeoff between higher yield and better quality utilising heterogeneous technologies, such as intensive production methods and environmental management practices.
Orlando Rodríguez +2 more
wiley +1 more source
Dutch dilemma: Housing prices and flood risk exposure
Abstract This article studies the impact of flood risk exposure on housing prices in a major river delta. Analyzing 1.8 million property transactions from 1998 to 2023 in the Netherlands, we find an average price discount of 1.1%. We observe considerable heterogeneity in price effects driven by exposure intensity, institutional settings that vary ...
Piet Eichholtz +2 more
wiley +1 more source
Retraction Note: Optimizing credit card fraud detection with random forests and SMOTE. [PDF]
Sundaravadivel P +5 more
europepmc +1 more source
Abstract We investigate how the affordances of an online context shape the processes of social learning. Using a dataset of more than 11,000 posts from the fraud subdread on the dark web forum Dread, we examine how affordances of platform governance, connectivity, anonymity, invisibility, asynchronicity, and limited oversight influence the components ...
Fangzhou Wang, Timothy Dickinson
wiley +1 more source
Enhancing credit card fraud detection using DBSCAN-augmented disjunctive voting ensemble. [PDF]
Ghalwash MA +3 more
europepmc +1 more source
Loss rate forecasting framework based on macroeconomic changes: Application to US credit card industry. [PDF]
Taghiyeh S, Lengacher DC, Handfield RB.
europepmc +1 more source
ABSTRACT Guided by the Actor‐Network Theory (ANT) perspective, this study explores user experiences with the perceived agency of algorithmic technology in the context of talent management (TM) decisions. Through a qualitative analysis of 11 client companies utilizing algorithmic TM decision‐making technology provided by an HR tech service firm, we ...
Violetta Khoreva +2 more
wiley +1 more source
Non-Intrusive Assessment of COVID-19 Lockdown Follow-Up and Impact Using Credit Card Information: Case Study in Chile. [PDF]
Muñoz-Cancino R +3 more
europepmc +1 more source

