The purpose of the 6th International Conference on Data Science, Technology and Applications (DATA) is to bring together researchers, engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.
Papers describing advanced methodologies, prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed. Accepted papers, presented at the conference by one of the authors, will be published in the conference proceedings. Acceptance will be based on quality, relevance and originality. Both full research papers and work-in-progress are welcome. There will be both oral and poster sessions.
Special sessions, dedicated to case-studies and commercial presentations, as well as demos or tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website.
AREA 1: BUSINESS ANALYTICS
Datamining
Decision Support Systems
Data Analytics
Change Detection
Dimensional Modelling
Semi-structured and Unstructured Data
Text Analytics
Data Warehouse Management
Web Analytics
Statistics Exploratory Data Analysis
Predictive Modelling
Data Science
Information Retrieval
Information Integration
AREA 2: DATA MANAGEMENT AND QUALITY
Data and Information Quality
Big Data
Modeling and Managing Large Data Systems
Organizational Concepts and Best Practices
Architectural Concepts
Mobile Data Management
Management of Sensor Data
Data Management for Analytics
Data Virtualization
Data Modeling and Visualization
Data Structures and Data Management Algorithms
Open Data
City Data Management
Transparency in Research Data
AREA 3: BIG DATA
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards
Big Data Infrastructure
Information Visualization
Cloud/Grid/Stream Computing for Big Data
Big Data Search and Mining
Social Web Search and Mining
Deep Learning and Big Data
Big Data Security, Privacy and Trust
Big Data Applications
Big Data as a Service
AREA 4: DATABASES AND DATA SECURITY
Mobile Databases
Object-Oriented Database Systems
Data Integrity
Large Scale Databases
Query Processing and Optimization
NoSQL Databases
Open Source Databases
WWW and Databases
Workflow Management and Databases
Database Architecture and Performance
Data Privacy and Security
Steganography
07月24日
2017
07月26日
2017
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