"Big data" is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate

1. Using Common Table Expressions to Build a Scalable Boolean Query Generator for Clinical Data Warehouses

2. Knowledge Model for Electric Power Big Data Based on Ontology and Semantic Web

3. RELEAF: An Algorithm for Learning and Exploiting Relevance

4. A Function Programmable Optical Interconnect Architecture for Transparent Intraand Inter Data Center SDM/TDM/WDM Networking

5. Communication Theoretic Data Analytics

6. Denoising of Hyper spectral Images Employing Two-Phase Matrix Decomposition

7. Regional Grain Yield Response to Climate Changein China: A Statistic Modeling Approach

8. A Comparative Study of GPR Reconstruction Approaches for Landmine Detection

9. An Incremental and Distributed Inference Method for Large-Scale Ontologies Based on MapReduceParadigm

10. Distributed Adaptive Routing Convergence to Non-Blocking DCN Routing Assignments