Distributed data mining model based on Support Vector Machines
Chunhua Ju, Feipeng Guo · Systems Engineering - Theory & Practice · 2010
The paper presented a distributed data mining model based on Support Vector Machines DSVM.It described the definition of multi-branches tree of Eigen(ET) and the method of building ET based on mobile Agents accessing to distributed datasets.It elaborated the concept by using ET to reflect the characteristic of attribute in the distributed dataset,and then proposed the algorithm of distributed incremental Support Vector Machines based on hull vector(HDIS) using the data structure of ET and the feature of Support Vector Machine.Finally,the ET was modified and improved by HDIS to realize distributed data mining.The experimental results show the DSVM providing high capability and efficiency of distributed business data mining.