With the increasing success of cloud computing, cloud business intelligence "as a service" offerings have arisen, both from cloud startups and major BI industry vendors. Beyond porting BI features into the cloud, which already implies numerous issues (e.g., BigData/NoSQL database modeling and storage, data localization, data marketplaces, security and privacy, performance, cost and usage models...), this trend also poses new, broader challenges for making data analytics available to small and medium-size enterprises (SMEs), non-governmental organizations, web communities (e.g., supported by social networks), and even the average citizen. This vision requires new integration and deployment models. For example, some deployments would benefit from an integrated database of private and open data.

Following the 2nd edition of the Cloud-I workshop at VLDB 2013 (http://eric.univ-lyon2.fr/cloud-i/), the aim of this special issue of Information Systems is to attract the best papers related to the field of Cloud Intelligence, with respect to the non-exhaustive list of topics below. Survey papers on specific topics within Cloud Intelligence are also welcome.

* Topics of interest

- Accessibility of Cloud Intelligence
- Analytics for complex data
- Analytics for social networks
- Analytics for temporal, spatial, spatio-temporal and mobile data
- Benchmarking Cloud Intelligence applications
- Cloud data warehouse design and architectures
- Cloud infrastructure for analytics applications
- Cloud Intelligence on linked data
- Collaborative Cloud Intelligence
- Cooperative Cloud Intelligence
- Crowd intelligence
- Data analytics as a service
- Data mining over the cloud
- Economic/payment models for cloud intelligence
- Extracting, Transforming and Loading data over the cloud
- Human-Computer interaction for Cloud Intelligence
- Massive data analytics: algorithms, techniques and systems
- OLAP over the cloud
- Open and private data cross-integration
- Personal intelligence
- Privacy and security in Cloud Intelligence
- Real-time/right-time and event-based analytics, performance issues
- Reliability and fault tolerance in Cloud Intelligence
- Scalability and parallelization for Cloud Intelligence: MapReduce and beyond
- Semantic Web intelligence
- Sharing and reusing Cloud Intelligence results
- Situational BI

* Submission guidelines

Submission deadline is March 9, 2014. Submission guidelines and procedure is available on the Information Systems website at http://ees.elsevier.com/is/. Extended versions of previous conference papers are welcome if they meet Information Systems' standard requirements on the amount of new material (30% new material).

* Guest Editors

- Jérôme Darmont, Université de Lyon, France
- Torben Bach Pedersen, Aalborg University, Denmark