Title :
Toward a common lexicon for exploiting activity data
Author_Institution :
Integrity Applic., Inc., Chantilly, VA, USA
Abstract :
Pattern recognition is easy. Doing it well is hard. Communicating across disciplines is even more difficult. This paper reports on efforts to reduce the communication issues across researchers. Currently, the social network data is being exploited by a number of academics to understand interactions among individuals. Assessing interactions among individuals is an application of pattern recognition, a science that for over 40 years has received a huge financial investment from the research and development community. This paper provides a lexicon that has been developed from the pattern recognition community and applies it to the current tasks of social network interactions. Two case studies will be used: reconnaissance imagery from the Cold War and text from social networks that includes both posting messages and instant messaging.
Keywords :
pattern recognition; research and development; social networking (online); activity data; financial investment; instant messaging; pattern recognition community; reconnaissance imagery; research and development community; social network data; social network interaction;
Conference_Titel :
Applied Imagery Pattern Recognition Workshop (AIPR), 2012 IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4673-4558-3
DOI :
10.1109/AIPR.2012.6528217