Mobile Analytics

Mobile analytics emphasises discovery (lightweight) on mobile devices, computation balancing and communication of meaningful patterns in sensed, observed, discovered, computed data while on-the-move. Mobile analytics is concerned with data stream & query processing on mobile devices (smartphones) and adaptive cooperation with cloud-based resources. Chalenges include:

• Require mobile devices to continuously sense, process and upload sensed data to the cloud/remote servers
• Data collection should be cost-efficient for both the devices and the networks
  • Local analytics
• Require infrastructure to receive, manage and analyse large volumes of real-time data streams using cloud computing platforms
  • Aggregate analytics
• Require participation from the user and willingness to allow collection of sensor data
  • user preferences
  • privacy
  • incentives
• Collecting and managing diverse data streams from multiple sources,
• Making inferences to extract context for entities- individuals, groups, locations
• Mining highly diverse data streams to get useful inferences, recommendations, etc.
• Preserving privacy and anonymity of users