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1 mai 2018
- handle: 10670/1.d2atke
Ce document est lié à :
10.4067/S0718-18762018000200103
info:eu-repo/semantics/openAccess
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Knowledge discovery in data Factual data analysis KDD (Information retrieval) Mining, Data Knowledge discovery in databases Algorithmic knowledge discoveryCiter ce document
Stanislav Mamonov et al., « Subjectivity of Diamond Prices in Online Retail: Insights from a Data Mining Study », Journal of Theoretical and Applied Electronic Commerce Research, ID : 10670/1.d2atke
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Résumé
: Diamonds belong to a unique product category whose perceived value is largely dependent on socially constructed beliefs. To explore the degree to which the physical properties of a diamond can be used to predict the diamond price, we perform data mining on a large dataset of loose diamonds scraped from an online diamond retailer. We find that diamond weight, color and clarity are the key characteristics that influence diamond prices. The data mining results also suggest a high degree of subjectivity in diamond pricing that may reflect price obfuscation strategies employed by diamond retailers.