The connection of ubiquitous and social computing is an emerging research
area which is combining two prominent areas of computer science.
In this paper, we tackle this topic from different angles: We describe
data mining methods for ubiquitous and social data, specifically
focusing on physical and social activities, and provide exemplary
analysis results. Furthermore, we give an overview on the Ubicon
platform which provides a framework for the creation and hosting
of ubiquitous and social applications for diverse tasks and projects.
Ubicon features the collection and analysis of both physical and
social activities of users for enabling inter-connected applications
in ubiquitous and social contexts. We summarize three real-world
systems built on top of Ubicon, and exemplarily discuss the according
mining and analysis aspects.