Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Current composite web service development and management solutions, e.g. BPEL, do not cater for assessing and maintaining comparability of business partners during business collab...
In runtime monitoring, a programmer specifies a piece of code to execute when a trace of events occurs during program execution. Previous and related work has shown that runtime m...
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Approximate queries on a collection of strings are important in many applications such as record linkage, spell checking, and Web search, where inconsistencies and errors exist in...