Strategies for parallel data mining
David B. Skillicorn · IEEE Concurrency · 1999
This article presents a set of cost measures that can be applied to parallel algorithms to predict their computation, data access and communication performance. These measures make it possible to compare different parallel implementation strategies for data mining techniques without benchmarking each one.