Chronological feed of everything captured from The Wall Street Journal.
This paper explores the application of OLAP cubes for preprocessing flat-file GTD (Global Terrorism Database) data to enable more meaningful pattern discovery through data mining. The authors aim to demonstrate how transforming raw GTD data into an OLAP format can reveal insights that are not readily apparent in the original flat-file structure, thereby enhancing the effectiveness of data mining techniques in this domain.
This study compares the performance of factor analysis and multiple linear regression across varied sample sizes and datasets using metrics like MSE and R-squared. Factor analysis consistently demonstrates superior performance over multiple linear regression. However, the study highlights that data distribution and characteristics significantly influence prediction accuracy, emphasizing the need for technique selection based on data properties.
This paper investigates the unsteady hydromagnetic flow of a Walter's fluid (Model B') in an open, inclined channel under gravity and a uniform transverse magnetic field. The study evaluates the velocity distribution using Laplace and finite Fourier Sine transform techniques, considering various time-dependent pressure gradients. Key findings focus on the impact of magnetic, Reynolds, and viscoelastic parameters on velocity distribution.
This paper introduces DiskTrust, a novel adaptive method for securing Hard Disk Drives (HDDs) on personal computers and laptops. DiskTrust utilizes Full Disk Encryption (FDE) with the Advanced Encryption Standard (AES) to protect data from unauthorized access. The method aims to authenticate and safeguard HDD content from illegal use by encrypting the entire disk or specific volumes.
This review paper explores the construction and properties of ADE bundles over surfaces. It leverages the inherent connections between surface geometry and ADE Lie theory to provide a comprehensive overview of related problems.