call for papers

ICDPA 2018 | May 12-14, 2018 | Guangzhou, China

Call for Papers (CFP)

ICDPA will provide a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Data Processing and Applications.

Topics of Interest
(not exhaustive):

Algorithms and Systems for Big Data Search
Big data analytics
Big Data Analytics and Metrics
Big Data Architectures
Big Data Economics/td> Big Data for Enterprise
Big data experiences
Big Data for Business Model Innovation
Big Data for Enterprise Transformation
Big Data in Business Performance Management
Big Data in Government Management Models and Practices
Big Data in Mobile and Pervasive Computing
Big Data in Smart Planet Solutions
Big Data Management
Big data medical devices
Big data medical records
Big data processing
Big Data Search and Mining
Big Data Storage, Processing and Transformation
Big data systems
Business/Corporate/Industrial Data Mining
Cloud Computing Techniques for Big Data
Collaborative Threat Detection using Big Data Analytics
Data fusion and integration
Data Mining Algorithms
Data mining Applications
Data mining Foundations
Data Mining in Logistics
Data Mining, Clustering and Knowledge Discovery
Database and Information System Architecture and Performance
Databases and Information Retrieval
Databases Systems and Applications
Data-mining grids
Distributed and grid based data mining
Distributed, and Peer-to-peer Search
Distributed, Parallel, P2P, and Grid-based Databases
Engineering Mining
Explorative and visual data mining
Information Retrieval and Database Systems
Machine learning based on Big Data
Management Issues of Social Network enabled Big Data
Medicine Data Mining
Military Data Mining
Mining text and semi-structured data
Mobile Data and Information
Models and Languages for Big Data Protection
Multi-databases and Database Federation XML and Databases
Multimedia mining (audio/video)
Parallel, Distributed and Grid Data Management
Privacy, Trust and Security in Databases
Representation Formats for Multimedia Big Data
Scientific and Statistical Databases
Scientific Applications of Big Data
Security Applications of Big Data
Security Data Mining
Sensor and Mobile Data Management
Social Science Mining
Statistical and Scientific Databases
Temporal, Spatial, and High Dimensional Databases
User Interfaces to Databases and Information Systems
Very Large Data Bases
Visualization Analytics for Big Data
Web mining
Workflow Management and Databases
XML and Semi-Structured Databases