BDAA 2013 - Workshop on Big Data and Data Analytics Applications

The growing quantity of data being collected in a variety of application domains has led to increased focus on the problem of Big Data. “Big Data” is defined as any data mining or machine learning challenge arising from datasets with extremely large numbers of instances or attributes, or problems that occur when managing a large distributed database which must be maintained securely and reliably across multiple sites with multiple users. Big Data has become an important part of research in many domains, including in health informatics, Internet mining, intrusion detection, industrial control systems, and software engineering.
This workshop will bring together researchers working on all aspects of Big Data, ranging from theorists who study the underlying challenges of Big Data to practitioners with hands-on experience utilizing Big Data to network engineers who manage distributed Big Data storehouses. By meeting and learning about one another's work, these researchers will gain a broader view on challenges across the full scale of Big Data applications, fostering ideas and collaborations.
All papers pertaining to Big Data are welcome at this workshop. Relevant topics include, but are not limited to:
? Theoretical Big Data Challenges
? High-Dimensional Big Data
? Imbalanced Big Data
? Noisy Big data
? Big Data Tools and Techniques
? Classification
? Clustering
? Feature Selection
? Sampling
? Ensembles
? Big Data Management
? Network Administration
? Privacy and Security
? Reliability and Maintenance
? Efficient Network Topology
? Big Data Applications
? Bioinformatics
? Cheminformatics
? Health Management2
? Web Mining
? Social Media Mining
? Network Security
? Physical Security
? Industrial Monitoring
? Industrial Automation
? Software Fault Detection
? Counterterrorism
? Business Intelligence