This paper presents Maya, a multi-paradigm, scalable and extensible network modeling framework for emulating distributed applications. A novel three-tier architecture is proposed ...
Junlan Zhou, Zhengrong Ji, Mineo Takai, Rajive Bag...
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. We develop a gradientbased dec...
Carrick Detweiler, Marek Doniec, Mingshun Jiang, M...
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Data Farming combines the rapid prototyping capability inherent in certain simulation models with the exploratory power of high performance computing to rapidly generate insight i...