Open Science Research Excellence

ICMDMDM 2020 : International Conference on Mobile Data Management and Data Mining

Tokyo, Japan
May 28 - 29, 2020

Call for Papers

ICMDMDM 2020 : International Conference on Mobile Data Management and Data Mining is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Mobile Data Management and Data Mining. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
  • Data mining for mobile applications
  • Mobile data analytics
  • Data management in the mobile cloud
  • Data management in sensor and mobile ad hoc networks
  • Data management in mobile peer-to-peer networks
  • Data replication, migration and dissemination in mobile environments
  • Mobile cloud computing and data management in the mobile cloud
  • Data management for Internet of Things (IoT) and sensor systems
  • Data management for augmented reality systems
  • Data management for connected cars, intelligent transportation systems, smart spaces
  • Mobile crowd-sourcing and crowd-sensing
  • Behavioural/activity sensing and analytics
  • Mobile location-based social networks
  • Mobile recommendation systems
  • Context-aware computing for intelligent mobile services
  • Middleware and tools for mobile and pervasive computing
  • Theoretical foundations of data-intensive mobile computing
  • Data stream processing in mobile/sensor network
  • Indexing, optimisation and query processing for moving objects/users
  • Location and trajectory analytics
  • Security and privacy in mobile systems
  • Innovative applications driven by mobile data
  • Pervasive data management
  • Transactions and workflows in mobile environments
  • Location and trajectory data management
  • Publish/subscribe and query processing middleware for mobile data
  • Mobile cloud computing
  • Mobile semantic data management
  • Human-centric activity recognition
  • Augmented reality systems and data issues
  • Managing pervasive data, sensor data streams and user devices
  • People-centric mobile sensing networks and smart urban spaces
  • Management of community sensing/participatory sensing data
  • Management of real-time data in converged networks
  • Mobile social applications and services