The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
The very nature of implementing and evaluating fully distributed algorithms or protocols in application-layer overlay networks involves certain programming tasks that are at best m...
This paper describes how to extract stock quote data and display it with a dynamic update (using free, but delayed data streams). As a part of the architecture of the program, we ...
We propose a new memory model called short-term memory for managing objects on the heap. In contrast to the traditional persistent memory model for heap management, objects in sho...
Martin Aigner, Andreas Haas, Christoph M. Kirsch, ...
The use of bad names — names that are wrong, inconsistent or inconcise — hinder program comprehension. The root of the problem is that there is no mechanism for aligning the n...