Conference Topics

The topics of interest include, but are not limited to:

  • Algorithms and Programming Techniques for Big Data Processing
  • Cloud Computing Techniques for Big Data
  • Big Data in Mobile and Pervasive Computing
  • Data Processing, Resource Scheduling on Cloud
  • Workflow, Management and Optimization of Data
  • Data Quality and Provenance Control
  • Social Web Search and Mining
  • Deep Learning and Big Data
  • Data Security, Privacy and Trust
  • Management Issues of Social Network Big Data
  • Data Mining
  • Decision Support Systems
  • Data Analytics
  • Clustering, Regression and Classification
  • Text, Image, Video and Speech Analytics
  • Machine Learning
  • Data in Education and E-learning
  • Data Economics
  • Data for Business Model Innovation
  • Multimedia Data Systems
  • Web Analytics
  • Variability and Adaptability of Business Process Models
  • Statistics Exploratory Data Analysis
  • Predictive Modelling
  • Data Science
  • Data and Information Quality
  • Data Modeling and Visualization
  • Data Structures and Data Management Algorithms
  • Natural Language Processing
  • Medical Informatics
  • Mobile Data Management
  • Information Retrieval, Integration
  • Distance Learning
  • e-Learning Models
  • Pedagogical Models
  • E-learning Activities
  • Workplace Learning
  • Fundamentals, Architectural of Cloud
  • Computation and Programming Models in Cloud
  • Security, Privacy and Cryptography in Cloud
  • Data Storage in Cloud
  • Access Control to Cloud Computing
  • Cloud Resource Virtualization
  • Business and Mobile Clouds
  • Cloud Configuration, Performance, and Capacity Management
  • Quality of Service (QoS) in Cloud Computing