Visualization of multi-dimensional data is challenging due to the number of complex correlations that may be present in the data but that are difficult to be visually identified. ...
The analysis of the runtime behavior of a software system yields vast amounts of information, making accurate interpretations difficult. Filtering or compression techniques are o...
We provide a report for the ACM SIGKDD community about the 2008 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2008), its origin in MMDS 2006, and future directions for...
Michael W. Mahoney, Lek-Heng Lim, Gunnar E. Carlss...
We present work in the spatio-temporal-thematic analysis of citizen-sensor observations pertaining to real-world events. Using Twitter as a platform for obtaining crowd-sourced obs...
Meenakshi Nagarajan, Karthik Gomadam, Amit P. Shet...