The topics include but are not limited to the  following:

• Managing the Flood of Solar & Stellar Astronomy Big Data

• New Computational Models for Storage, Distribution, Processing and Mining of Astronomy Data

• Evaluation of Information Quality for Astronomy Data from Telescopes, as well as Derived Data Products (Meta-Data)

• New Scientific Standards for Information Processing and Mining, and their Quality Evaluation

• System Architectures, Design and Deployment of Solar and Stellar Astronomy Data Archives, Portals and Analytical Services

• Data Management and Stream Mining for Astronomy Data in Cloud and Distributed Environments

• Integration of Heterogeneous Solar Information from Multiple Data Repositories for the purpose of Knowledge Discovery from these Databases

• Solar & Stellar Astroinformatics and Astrostatistics

• New Computational Models for Search, Retrieval, and Mining of Astronomy Data

• Scalable Algorithms and Systems for Solar Activity Recognition (e.g. Computer Vision) from Solar Data Repositories

• Efficient Data Selection, Machine-Learning and Triage Techniques

• Solar & Stellar Astronomy Data Search Architectures, their Scalability, Efficiency, and Real-life Usefulness

• Visualization and Interaction Tools for Large Astronomy Data Bases

• Computational Astrostatistics (e.g. irregularly sampled data, multivariate and survival analysis, nonlinear regression, etc.)

• Hyperspectral Imaging: Technologies and Techniques

• Image Processing for Unbiased Image, Spatial and Time Series Analysis

• Cloud-, Distributed-, and Stream-Data Mining for High Velocity Astronomy Data

• Semantic-based Data Mining from Heterogeneous Solar & Stellar Data Repositories

• Multimedia, Multi-structured, and Spatiotemporal Astronomy Data Mining

• Novel Solar & Stellar Data Mining Models, including new algorithms available through Hadoop, MapReduce, No-SQL and similar technologies

• Computer Applications related to Solar Astronomy Big Data Mining

• Complex Solar Weather Applications in Science, Engineering, Education, Navigation, Power Grids, and Telecommunication for Government, Public and Private Industry Sectors

• New Real-life Case Studies of Big Solar Data Mining (e.g. Space Weather)

• Experiences with Big Data Mining Project Deployments in Solar Physics

• Solar Astronomy Data and Knowledge Distribution in the Social Web

• Seeing the Sun as a Star Using Astronomical Big Data

• Surveys of Millions of Suns – Is the Sun a Typical Sun-like Star?

• Helioseismology versus Asteroseismology

• Flares, Planets and Supernovae – Identifying Transient/Periodic Events in Time Series Data