This special issue will address innovative approaches in the general area of business intelligence and data mining as well as specific approaches dealing with the topic big data and web data mining in the travel and tourism domain. With the advent of new technologies like Internet of Things, communication technologies, and wide variety of social media applications, organisations produce huge volumes of data in unified formats. Analysing such data and gaining decision-relevant knowledge is indispensable for any kind of stakeholder such as governments, organisations, and communities. Thus, applying techniques from business intelligence and data mining to extract relevant knowledge from available data sources constitutes an important vein of research in the field of big data and business intelligence. Big data analytics that discover insights from evidence has a high demand for computing efficiency, knowledge discovery, problem solving, and event prescription. It also poses great challenges in terms of data, process, analytical modelling and management for organisations to turn big data into big insight. Recently, the term big data has been coined, which is characterised with high volume, variety and velocity, increasingly drives decision making and is changing the landscape of business intelligence. Due to the crucial role and importance of social media and online product reviews, the above trends become vital for various stakeholders to ensure competitiveness and, thus, already gained high research attention.
Innovative approaches and state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field in the general area of business intelligence and data mining as well as specific approaches, dealing with the topic big data and web data mining will be addressed. Proposed submissions should be original, unpublished, and novel in-depth research that makes significant methodological or application contributions.
The issue will carry revised and substantially extended versions of selected papers presented at The 2nd EAI International Conference on Future Intelligent Vehicular Technologies (Future5V), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited to, the following:
- Innovative methods for big data analytics
- Techniques for mining unstructured, spatial-temporal, streaming and/or multimedia data
- Machine learning from big data
- Search and optimisation for big data
- Parallel, accelerated, and distributed big data analytics
- Value and performance of big data analytics
- Data visualisation
- Real-world applications of big data analytics, such as default detection, cybercrime, e-commerce, e-health etc.
- Improving forecasting models using big data analytics
- Security and privacy in big data era
- Online community and big data
- Business analytics and decision support
- Data mining and knowledge discovery
- Yield management and dynamic pricing
- Analysis of customer behaviour and CRM
- Web data mining (web content mining, web usage mining)
- Network analysis in social communities
Important DatesManuscripts due by: 31 December, 2017
Notification to authors: 15 March, 2018
Revised version submission: 30 April, 2018
Final decisions: 15 June, 2018