Global Model Of Distributed Data Mining Is Not Summing Of Local Models
Mohamed Soliman, Mehmed M. Kantardzic · WIT transactions on information and communication technologies · 2003
Discovering meaningful information from data is what is known data mining. By meaningful information we mean sequential patterns, rules and other indexes embedded in the data. So far, attention in the data mining process has always focused on extracting information from data physically located at one central site. However, most real life applications rely on data distributed in several locations. As a result, a feasible model for mining distributed data is required. The paper presents a model for mining distributed sequential patterns. The model is further verified by a simulator that can work with different mining tasks.