Stock market variation data is collected in the form of breaking news from various business websites. The stock market trend changes with key financial reforms, weather conditions, and political events. The dataset is created using financial news text data. The dataset features consist of TF-IDF...

Questions: How can we develop a way to measure the culture of devices, technologies, and products? What modifications of the dimensions of difference between cultures of nations, organizations, and professions would extend them to measurement of the culture of devices? Once device cultures...

Online Portfolio Selection (OLPS) has attracted extensive interest in recent years. Accurate prediction of future prices and determining the optimal portfolio selection strategy based on the estimated return is a challenging topic in machine learning. We propose a novel adjusted learning...

The purpose of this study is to identify the quality factors of mobile applications and predict their influence on the consumer satisfaction of WhatsApp users. This research extends the ISO 9126 model used for evaluating the software quality. The new research model and an instrument are used to...

Firms often offer a menu of contracts which vary by fee structures in order to differentiate among different types of consumers. Such contracts require that consumers make estimates of their own future behavior to choose among service contracts whose prices condition on usage. We study the...