DATA 2013 - 2nd International Conference on Data Management Technologies and Applications (DATA)

The purpose of the 2nd 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. DATA MANAGEMENT AND QUALITY
3. ONTOLOGIES AND THE SEMANTIC WEB
4. DATABASES AND DATA SECURITY
AREA 1: BUSINESS ANALYTICS
Data Analytics
Text Analytics
Web Analytics
OLAP and MDA Models
Data Warehouse Management
Datamining
Decision Support Systems
Dimensional Modelling
Statistics Exploratory Data Analysis
Change Detection
Predictive Modelling
Semi-structured and Unstructured Data
AREA 2: DATA MANAGEMENT AND QUALITY
Data Virtualization
Architectural Concepts
Big Data
Data Curation
Data and information quality
Data Management for Analytics
Data Modeling and Visualization
Management of Sensor Data
Mobile Data Management
Digital Rights Management
Data Structures and Data Management Algorithms
Modeling and Managing Large Data Systems
Business Cases and Cost/Benefit Analysis
Organizational Concepts and Best Practices
AREA 3: ONTOLOGIES AND THE SEMANTIC WEB
Ontology Engineering
Computational Semantics
Web Ontology Languages
Descriptive Logic
Enterprise Ontology
Corporate Semantic Web
Semantics and Social Media
Digital libraries
Information retrieval
Interoperability
Knowledge Influence and Influencers
Knowledge Management
Markup Languages
Information Integration
Web Personalization and Recommendation
AREA 4: DATABASES AND DATA SECURITY
Query Processing and Optimization
NoSQL Databases
Open Source Databases
WWW and Databases
Mobile Databases
Large Scale Databases
Object-Oriented Database Systems
Workflow Management and Databases
Database Architecture and Performance
Data Privacy and Security
Data Integrity
Authentication and Intrusion Detection
Database Encryption
Steganography