Frontiers of Business Intelligence and Analytics

Emerging research area

Out of the six emerging research areas, network and mobile analytics receive the highest attention so far (25 and 26 hits). The third most addressed emerging research area is Social analytics, which comes to 13 hits. Based on activities in social media that are analyzed by sense recognition and sensor data, Chen et al. develop an approach to predict smog in big cities. Gkatziaki et al. develop a system that divides a city into smaller subspaces based on the spatial data of social network users. The idea is to get knowledge about urban centers in terms of temporal, functional, and spatial usage of the inhabitants. Six papers address the area of Human computer interaction. For example, Chernbumroong et al. introduce a sensor-based activity recognition approach to enable people in need of care to remain at home as long as possible.

Furthermore, we found three research works that deal with Data science foundations. For example, Zschech introduces a taxonomy of recurring data analysis problems in the area of maintenance. Facing a steady increase of textual data, produced by voice recognition systems (Apple's SIRI was introduced in 2011, Amazon Alexa in 2015), it is surprising that solely two research papers address Text analytics. Current text analysis research evaluates tourist behavior by analyzing geo-tagged smartphone photos and corresponding descriptions and identifies emotions in message service providers and social networks.