| E. Simoudis, Personal Communication, 1994. |
....with similar agents, and whether a first order learning algorithm is used. Distributed Database Mining One approach which has emerged for mining distributed databases is to use a distributed database manager to provide seamless integration of the distributed data to data mining algorithms (Simoudis, 1994). Our approach differs in that network traffic is restricted to the exchange of knowledge between agents. Preliminary Work To date we have tackled the following issues: the nature of the agent architecture; and the possible interactions between the agents during the data mining process. ....
E. Simoudis, Personal Communication, 1994.
....learning can occur when data is distributed. These relate to when agents communicate with respect to the learning process: The first approach gathers the data into one place. The use of distributed database management systems to provide a single set of data to an algorithm is an example of this (Simoudis, 1994). The problem with such an approach is that it does not make efficient use of the resources usually associated with distributed computer networks. The second approach is for agents to exchange information whilst learning on local data. This is the approach taken by Sian (1991) No revision or ....
E. Simoudis, Personal Communication, 1994.
....agents, and are unsure as to the exact nature of the learning algorithm used. Distributed Database Mining One approach which has emerged for mining distributed databases is to use a distributed database manager to provide seamless integration of the distributed data to data mining algorithms (Simoudis, 1994). Our approach differs in that communication traffic between agents is restricted to the exchange of knowledge. Preliminary Work To date we have tackled the following issues: the nature of the agent architecture; and the possible interactions between the agents during the data mining process. ....
E. Simoudis, personal communication, 1994.
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