Earlier work has demonstrated the effectiveness of in-network data aggregation in order to minimize the amount of messages exchanged during continuous queries in large sensor netwo...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
This paper presents a benchmarking suite that measures the performance of using sockets and eXtensible Markup Language remote procedure calls (XML-RPC) to exchange intra-node mess...
Philip F. Burdette, William F. Jones, Brian C. Blo...
In business-to-business e-commerce, traditional electronic data interchange (EDI) approaches such as UN/EDIFACT have been superseded by approaches like web services and ebXML. Nev...
This paper attempts to extend the XCS research by analyzing the impact of information exchange between XCS agents on classifier performance. Two types of information are exchange...