The MASS 2017 aims to bring together practitioners and researchers with a specific focus on the emerging trends and industry needs associated with mobility analysis of spatial social data. Both theoretical and experimental submissions are encouraged.
Papers should elaborate on big data and web techniques for spatial social data, issues associated to data preparation, pattern interpretation, visualization, efficient mining tools, privacy issues, and new applications.
Topics of interest include, but are not limited to:
Spatial Social Data Modeling and Generators
Spatial and Social Data Cleaning and Recovery
Compression Methods for Spatial and Social Data
Feature Learning/Topic Models for Spatial Social Data
Spatial Social Network or Data Analysis
User Behavior Analysis
Event/Link Prediction in Spatial Social Networks
Spatial Optimization for Crowd Sourcing
Indoor/Outdoor Trajectory Mining
Mobile Computing for Spatial Social Applications
Trajectory Analysis and Mining in Social Media
Location Prediction in Social Networks
Querying processing in Integrating Spatial and Social Dimensions
New Applications of Data Mining in Spatial Social Data
Visualization Methods for Spatial and Social Data
Fraud Detection in Spatial Social Networks
Dynamic Analysis of Social and Spatial Systems
Individual or Collective Behavior Mining
Cognitive Computing in Spatial Social Systems
Parallel Processing of Mining methods for Spatial Social Data
Recommendation Methods with Spatial Social Data
Influential User Mining in Spatial Social Networks
Dynamic Routing in Spatial Social Networks
Privacy issues in Spatial Social Networks
Details and Dates
The workshop papers have the same submission requirements as the main conference (APWeb-WAIM) except that workshop submissions must not exceed 10 pages in LNCS format. The papers of the APWeb-WAIM 2017 satellite workshops will be accepted for publication as an LNCS post-proceedings by Springer.
*All deadlines are at 11:59PM Pacific Daylight Time.