Agent Enabled Mining of Distributed Protein Data Banks

Agent enabled Mining of Distributed Protein Data Banks

Mining biological data is an emergent area at the intersection between bioinformatics and data mining (DM). The intelligent agent based model is a popular approach in constructing Distributed Data Mining (DDM) systems to address scalable mining over large scale distributed data. The nature of associations between different amino acids in proteins has also been a subject of great anxiety. There ...

Distributed Data Mining and Mining Multi-agent Data

The problem of distributed data mining is very important in network problems. Ina distributed environment (such as a sensor or IP network), one has distributed probes placed at strategic locations within the network. The problem here is to be able to correlate the data seen at the various probes, and discover patterns in the global data seen at all the different probes. There could be different...

Scalable, Distributed Data Mining - An Agent Architecture

Scalability determines the potential in distributing h&h rlata anrl rnmnrlt,af.inn in cln.+n. mining. “.,“.I . . ..Avw -_..a “.,--I..v-“e-^--2-----o. The PADMA (PArallel Data Mining Agents) architecture will be described, along with experiments on text to address scalability. PADMA agents offer parallel data access, and hierarchical clustering, with results visualized through a JAVA web-interface.

A Security-Enabled Grid System for Distributed Data Mining

Integration and Interaction of Distributed Data Mining with Agent Technology

In recent years, more and more researchers have been involved in research on both agent technology and distributed data mining. A clear disciplinary effort has been activated toward removing the boundary between them, that is the interaction and integration between agent technology and distributed data mining. We refer this to agent mining as a new area. The marriage of agents and distributed d...