Influence on Normalization and Magnitude Normalization for Price Forecasting of Agricultural Products

cDNA Microarray Data Normalization

Influence of Word Normalization on Text Classification

In this paper we focus our attention on the comparison of various lemmatization and stemming algorithms, which are often used in nature language processing (NLP). Sometimes these two techniques are considered to be identical, but there is an important difference. Lemmatization is generally more utilizable, because it produces the basic word form which is required in many application areas (i.e....

Manifold Learning: The Price of Normalization

We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consists of Locally Linear Embedding (LLE), Laplacian Eigenmap, Local Tangent Space Alignment (LTSA), Hessian Eigenmaps (HLLE), and Diffusion maps. We present and prove conditions on the manifold that are necessary for the s...

The Creation and Normalization of Marital Infidelity Predictor Test

The aim of this research is to create and to normalize the marital infidelity predictor test. The method used in this study is post-event and it uses the survey technique. The statistical population consists of women residents in Tehran and for investigating the subject and determining the technical characteristics of the questionnaire, 200 individuals are selected, through cluster sampling, wh...

Impact of Data Normalization on Stock Index Forecasting

Forecasting the behavior of the financial market is a nontrivial task that relies on the discovery of strong empirical regularities in observations of the system. These regularities are often masked by noise and the financial time series often have nonlinear and non-stationary behavior. With the rise of artificial intelligence technology and the growing interrelated markets of the last two deca...