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Full-Text Articles in Technology and Innovation
Tree-Based Algorithm For Stable And Efficient Data Clustering, Hasan Aljabbouli, Abdullah Albizri, Antoine Harfouche
Tree-Based Algorithm For Stable And Efficient Data Clustering, Hasan Aljabbouli, Abdullah Albizri, Antoine Harfouche
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
The K-means algorithm is a well-known and widely used clustering algorithm due to its simplicity and convergence properties. However, one of the drawbacks of the algorithm is its instability. This paper presents improvements to the K-means algorithm using a K-dimensional tree (Kd-tree) data structure. The proposed Kd-tree is utilized as a data structure to enhance the choice of initial centers of the clusters and to reduce the number of the nearest neighbor searches required by the algorithm. The developed framework also includes an efficient center insertion technique leading to an incremental operation that overcomes the instability problem of the K-means …
Family Ownership And Corporate Environmental Responsibility: The Contingent Effect Of Venture Capital And Institutional Environment, Zhu Zhu, Feifei Lu
Family Ownership And Corporate Environmental Responsibility: The Contingent Effect Of Venture Capital And Institutional Environment, Zhu Zhu, Feifei Lu
Department of Management Faculty Scholarship and Creative Works
As scholars and policy makers pay more attention to the environmental impact of economic activities, more focus has been placed on the corporate environmental responsibility (CER) of family firms, which accounts for the majority of businesses in both developed and developing countries. Using a sample of 4714 private enterprises across 23 provinces in China, the current study examines the effect of family ownership on CER investment, as well as the moderating effects of venture capital investment and local institutional development. Results show that concentrated family ownership leads to lower CER spending, however, when venture capital investment comes from developed markets, …
Subjectivity Of Diamond Prices In Online Retail: Insights From A Data Mining Study, Stanislav Mamonov, Tamilla Triantoro
Subjectivity Of Diamond Prices In Online Retail: Insights From A Data Mining Study, Stanislav Mamonov, Tamilla Triantoro
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
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.