Evidence-based decision making is becoming increasingly important in many diverse domains, including healthcare, environmental management, and government. This has raised the need ...
Clustering accuracy of partitional clustering algorithm for categorical data primarily depends upon the choice of initial data points (modes) to instigate the clustering process. ...
We propose a novel algorithm for inducing semantic taxonomies. Previous algorithms for taxonomy induction have typically focused on independent classifiers for discovering new sin...
Abstract. Database provenance chronicles the history of updates and modifications to data, and has received much attention due to its central role in scientific data management. ...
This study examines the impacts of debt financing on the firms' investment decisions by employing the method of the multiple linear regression on the data from 2006-2008 of 6...