Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
— This work presents an UWB testbed for reduced data rates with capabilities of measuring range and location. The transmitter uses Time Hopping spread spectrum codes to reduce th...
— This paper presents a fast analytical method for estimating the throughput of pipelined asynchronous systems, and then applies that method to develop a fast solution to the pro...