Informatization and E-Business Model Application for Distributed Data Mining Using Mobile Agents

Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining for many reasons. First of all, most of the current used data mining techniques require all data to be resident in memory, i.e., the mining process must be done at the data source site. This is not feasible for the exponential growth of the data stored in organization(s) databases. Another important reason is that data is inherently distributed for fault tolerance purposes. DDM requires two main decisions about the DDM implementations: A distributed computation paradigm (message passing, RPC, mobile agents), and the used integration techniques (Knowledge probing, CDM) in order to aggregate and integrate the results of the various distributed data miners. Recently, the new distributed computation paradigm, which has been evolved as mobile agent is widely used. Mobile agent is a thread of control that can trigg...

• Type: Conference
• Year: 2003
• Where: IADIS
• Authors: Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed M. Medhat
• Keywords: Data Mining, Data Sources, IADIS 2003, IADIS 2008, Mobile Agents