Scope
Last modified
2014-01-04 23:15
Topics of interest include, but are not limited to, the following:
- ALGORITHMS FOR BIG DATA:
- Data and Information Fusion
- Genetic Algorithms
- Machine Learning
- Natural Language Processing
- Signal Processing
- Scalable Algorithms
- Simulation and Modeling
- Data-Intensive Computing
- Parallel Algorithms (including the map-reduce paradigm)
- Testing Methods
- Dimensionality Reduction Techniques
- Multidimensional Big Data
- Multilinear Subspace Learning
- Sampling Methodologies
- Streaming
- BIG DATA FUNDAMENTALS:
- Novel Computational Methodologies
- Algorithms for Enhancing Data Quality
- Models and Frameworks for Big Data
- Graph Algorithms and Big Data
- Computational Science
- Computational Intelligence
- INFRASTRUCTURES FOR BIG DATA:
- Cloud Based Infrastructures (applications, storage & computing resources)
- Grid and Stream Computing for Big Data
- High Performance Computing, Including Parallel & Distributed
Processing
- Autonomic Computing
- Cyber-infrastructures and System Architectures
- Programming Models and Environments to Support Big Data
- Software and Tools for Big Data
- Big Data Open Platforms
- Emerging Architectural Frameworks for Big Data
- Paradigms and Models for Big Data beyond Hadoop/MapReduce, ...
- BIG DATA MANAGEMENT AND FRAMEWORKS:
- Database and Web Applications
- Federated Database Systems
- Distributed Database Systems
- Distributed File Systems
- Distributed Storage Systems
- Knowledge Management and Engineering
- Massively Parallel Processing (MPP) Databases
- Novel Data Models
- Data Preservation and Provenance
- Data Protection Methods
- Data Integrity and Privacy Standards and Policies
- Data Fusion and Integration
- Data Science
- Novel Data Management Methods
- Crowdsourcing
- Stream Data Management
- Scientific Data Management
- BIG DATA SEARCH & MINING METHODS:
- Multimedia and Big Data
- Data Mining
- Social Networks
- Data Science
- Web Search and Information Mining
- Scalable Search Architectures
- Cleaning Big Data (noise reduction), Acquisition & Integration
- Visualization Methods for Search
- Time Series Analysis
- Recommendation Systems
- Graph Mining and Other Similar Technologies
- SECURITY & PRIVACY IN THE ERA OF BIG DATA:
- Cryptography
- Threat Detection Using Big Data Analytics
- Privacy Threats of Big Data
- Privacy Preserving Big Data Collection
- Intrusion Detection
- Socio-economical Aspect of Big Data in the Context of Privacy and Security
- APPLICATIONS OF BIG DATA:
- Big Data as a Service
- Big Data Analytics in e-Government and Society
- Applications in Science, Engineering, Healthcare, Visualization, Business, Education, Security, Humanities, Bioinformatics, Health Informatics, Medicine, Finance, Law, Transportation, Retailing, Telecommunication, all Search-based applications, ...
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