DATA 2014 - 3rd International Conference on Data Management Technologies and Applications (DATA)

The purpose of the 3rd International Conference on Data Management Technologies and Applications (DATA) is to bring together researchers, engineers and practitioners interested on databases, data warehousing, 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.
CONFERENCE AREAS
Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
1. BUSINESS ANALYTICS
2. DATABASES AND DATA SECURITY
3. DATA MANAGEMENT AND QUALITY
4. ONTOLOGIES AND THE SEMANTIC WEB
AREA 1: BUSINESS ANALYTICS
Datamining
Decision Support Systems
Data Analytics
Change Detection
Dimensional Modelling
OLAP and MDA Models
Semi-structured and Unstructured Data
Text Analytics
Data Warehouse Management
Web Analytics
Statistics Exploratory Data Analysis
Predictive Modelling
AREA 2: 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
Authentication and Intrusion Detection
Database Encryption
Steganography
AREA 3: DATA MANAGEMENT AND QUALITY
Data and information quality
Digital Rights Management
Big Data
Modeling and Managing Large Data Systems
Organizational Concepts and Best Practices
Architectural Concepts
Mobile Data Management
Management of Sensor Data
Business Cases and Cost/Benefit Analysis
Data Curation
Data Management for Analytics
Data Virtualization
Data Modeling and Visualization
Data Structures and Data Management Algorithms
Security and Legal Issue in Mobile Applications/apps
Open Data
City Data Management
Transparency in Research Data
AREA 4: ONTOLOGIES AND THE SEMANTIC WEB
Knowledge Management
Ontology Engineering
Digital libraries
Information retrieval
Information Integration
Interoperability
Computational Semantics
Markup Languages
Corporate Semantic Web
Enterprise Ontology
Knowledge Influence and Influencers
Web Ontology Languages
Descriptive Logic
Semantics and Social Media
Web Personalization and Recommendation