The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
Helen Kaikova, Vagan Y. Terziyan, Borys Omelayenko
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
Tak-Chung Fu, Fu-Lai Chung, Robert W. P. Luk, Chak...
The research project currently in progress aims to develop a comprehensive understanding of the childrens multimedia publishing industry in the UK and the challenges of adapting...
Software continually changes due to performance improvements, new requirements, bug fixes, and adaptation to a changing operational environment. Common changes include modificatio...
Sunghun Kim, E. James Whitehead Jr., Jennifer Beva...
Understanding detailed changes done to source code is of great importance in software maintenance. We present Code Flows, a method to visualize the evolution of source code geared...