Automated classification of text into predefined categories has always been considered as a
vital method to manage and process a vast amount of documents in digital forms that are …

The objective of this study is to investigate the use of pattern classification methods for
distinguishing different types of brain tumors, such as primary gliomas from metastases, and …

Text categorization is widely used when organizing documents in a digital form. Due to the
increasing number of documents in digital form, automated text categorization has become …

Linear discriminant analysis (LDA) is well known as a powerful tool for discriminant analysis.
In the case of a small training data set, however, it cannot directly be applied to high …

Company movements and market changes often are headlines of the news, providing
managers with important business intelligence (BI). While existing corporate analyses are …

Iris is regarded as the most unique biometric identification. This paper proposes a new
feature extraction based on iris texture patterns with Principal Component Analysis (PCA) …

Dimensionality reduction plays an important role in the data processing of machine learning
and data mining, which makes the processing of high-dimensional data more efficient …

The choice of packaging type is important to the process of researching and developing an
integrated circuit (IC). Indeed, for an IC chip designer, the importance can be compared to …

Dimensionality reduction is an important technique in machine learning and data mining,
which makes the processing of high dimensional data faster. An efficient method for …

Feature reduction is an important process before documents classification. The classification
performance is impact by the quality of the selected. A new semantic approach is presented …