Introduction
The purpose of the 5th 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.
Call for paper
Submission Topics
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
- 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
- Data Science
AREA 2: 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 3: 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
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
- Authentication and Intrusion Detection
- Database Encryption
- Steganography
All Comments
Important Date
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Conference Date
Jul 24
2016
toJul 26
2016
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Jul 26 2016
Registration deadline
Contact Information
- da******@insticc.org
- +35*********
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