A platform for collaborative and distributed KDD process design

Abstract

Knowledge Discovery in Databases (KDD) is a complex and computationally intensive process aimed at extracting knowledge from large amounts of data. To provide effective support to users, especially non-experts, in this work we propose a knowledge-centric platform specifically aimed at supporting collaborative design of KDD processes in distributed environments.