Large volumes of product reviews generated by online users have important strategic value
for product development. Prior studies often focus on the influence of reviews on customers …

HCI engages with data science through many topics and themes. Researchers have
addressed biased dataset problems, arguing that bad data can cause innocent software to …

The prediction of tourist numbers is important for Destination Management and Marketing.
While most existing methods rely on well-structured statistical data, using web search …

A major technological shift is occurring in the railways giving rise to new safety concerns.
The speed in which change is occurring along with technological trends is significant for an …

In the developed economies, services have now risen to paramount importance. This
change has overwhelmingly taken place in the business-to-business (B2B) sector. B2B …

Abstract Data Analytics and derived Data Mining are powerful approaches for the analysis of
Big Data. There are a lot of commercial Data Analytics applications enterprises can take …

Zusammenfassung Der Beitrag entwickelt einen Vorschlag für eine neue Form der
Konsumentenanalyse, die auf einer lernenden KI basiert und durch die umfängliche …

Accurately quantifying plant available water capacity (PAWC) of soil is important for
maximising crop yields in dryland cropping systems, as PAWC positively correlates with crop …

Hotels offer a range of attribute-based services perceived to be wanted and gladly used by
guests while staying at the hotel. That is, hotels at least think they have recognized the …

As the volume and velocity of Big Data continue to grow, traditional cloud computing
approaches struggle to meet the demands of real-time processing and low latency. Fog …