In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
In Service Oriented Architecture (SOA), service composition integrates existing services to fulfill specific tasks using a set of standards and tools. However, current service comp...
Hua Xiao, Ying Zou, Ran Tang, Joanna Ng, Leho Nigu...
Entity matching (EM) is the task of identifying records that refer to the same real-world entity from different data sources. While EM is widely used in data integration and data...
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...