One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Similarity search in time series databases is an important research direction. Several methods have been proposed in order to provide algorithms for efficient query processing in t...
Maria Kontaki, Apostolos Papadopoulos, Yannis Mano...
Despite the fact that global multicast is still not possible in today’s Internet, many local networks are already multicastcapable (the so-called multicast “islands”). Howev...
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
This paper describes an implementation for syntax-directed transformation of XML documents from one structure to another. The system is based on the method which we have introduce...