Liver diseases represent a major health burden worldwide. Machine learning (ML) algorithms have been extensively used to diagnose liver disease. This study accordingly aims to employ various individual and integrated ML algorithms on distinct liver disease datasets for evaluating the diagnostic...

This article describes how e-commerce has become so vast that almost every product and service can be purchased online, to be delivered at our doorsteps. This has led to a striking increase in the number of online customers. In an attempt to make the online shopping more appealing and...

For most of projects, including major infrastructure enterprises a key success factor is an appropriately selected general contractor. In addition to technical and organizational criteria the assessment of its financial capacity is strongly important to provide liquidity to the cash flows of the...

In this paper, the authors investigate the topic-independent Chinese sentiment identification problem from online news. They analyze the word usage and sentence structure of the documents for inferring representative terms and sentences in the documents, and then employ the feature values of...

Dimensionality reduction of feature vector size plays a vital role in enhancing the text processing capabilities; it aims in reducing the size of the feature vector used in the mining tasks (classification, clustering, etc.). This paper proposes an efficient approach to be used in reducing the...