Abstract The leading approaches in Machine Learning are notoriously data-hungry. Unfortunately, many application domains do not have access to big data because acquiring involves a process that is expensive or time-consuming. This has triggered serious debate both the industrial and academic communities calling for more data-efficient models harness power of artificial learners while achieving ...

Data are invaluable. How can we assess the value of data objectively, systematically and quantitatively? Pricing data, or information goods in general, has been studied practiced dispersed areas principles, such as economics, marketing, electronic commerce, management, mining machine learning. In this article, present a unified, interdisciplinary comprehensive overview important direction. We e...

Abstract This study presents an initial framework describing factors that could affect respondents’ decisions to link their survey data with public Twitter data. It also investigates two types of factors, those related the individual and design consent request. Individual-level include attitudes towards helpful behaviours, privacy concerns social media engagement patterns. The factor focuses on...

The data produced by various services should be stored and managed in an appropriate format for gaining valuable knowledge conveniently. This leads to the emergence of models, including relational, semi-structured, graph so on. Considering fact that mature relational databases established on models are still predominant today’s market, it has fueled interest storing processing semi-structured p...