A Comparison of Measures for Detecting

Comparison of Micro Neutralization Test with Hemadsorption-Inhibition Test, and Immunoflrorescence Technique for Detecting Mumps Antibodies

Comparison of Flurochrome , Ziehl-Neelsen and Tan Thiam Hok Staining Methods for Detection of Mycobacterium tuberculosis in Sputums of Patients with Pulmonary Tuberculosis

Abstract Background and objectives: Direct smear microscopy, because of its simplicity, rapidity, low cost and relatively sensitive is a suitable method to detecting pulmonary tuberculosis. This experiment was aimed at determining the best method for detecting Mycobacterium tuberculosis among three kinds of staining methods: Fluorochrome, Ziehl Neelsen and Tan Thiam Hok . Material and Methods: ...

A Geometric View of Similarity Measures in Data Mining

The main objective of data mining is to acquire information from a set of data for prospect applications using a measure. The concerning issue is that one often has to deal with large scale data. Several dimensionality reduction techniques like various feature extraction methods have been developed to resolve the issue. However, the geometric view of the applied measure, as an additional consid...

An Empirical Comparison of Distance Measures for Multivariate Time Series Clustering

Multivariate time series (MTS) data are ubiquitous in science and daily life, and how to measure their similarity is a core part of MTS analyzing process. Many of the research efforts in this context have focused on proposing novel similarity measures for the underlying data. However, with the countless techniques to estimate similarity between MTS, this field suffers from a lack of comparative...

Providing a Model for Detecting Tax Fraud Based on the Personality Types of Corporate Financial Managers using the Neural Network Approach

One of the management measures to reduce tax liabilities is non-payment of taxes through tax fraud. Because personality factors may play a role in explaining tax ethics, examining personality traits and aspects of tax fraud can help to better understand the factors that influence tax decisions. The main purpose of this study is to provide a model for detecting tax fraud based on the personality...

Diagnostic Measures in Ridge Regression Model with AR(1) Errors under the Stochastic Linear Restrictions

Outliers and influential observations have important effects on the regression analysis. The goal of this paper is to extend the mean-shift model for detecting outliers in case of ridge regression model in the presence of stochastic linear restrictions when the error terms follow by an autoregressive AR(1) process. Furthermore, extensions of measures for diagnosing influential observations are ...