As the large size of test data volume is becoming one of the major problems in testing System-on-a-Chip (SoC), several compression coding schemes have been proposed. Extended frequ...
: Similarity search and data mining on time series databases has recently attracted much attention. In this paper, we represent a data object by several time series-valued attribut...
In this paper we present a symbols recognition system for graphic documents, based on a combination of global structural approaches. Our system allows to extract components and the...
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...
Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...