-commerce/e-business applications. Many classification algorithms are not scalable to work effectively and efficiently with these very large datasets … Algorithm, or IRA in short) that builds domain knowledge from very large datasets using an iterative inductive learning … chucks from the remaining data. Performance testing of IRA on two datasets (one with approximately five million records for a …

Panel datasets have been increasingly used in economics to analyse complex economic phenomena. One of the attractions … of panel datasets is the ability to use an extended dataset to obtain information about parameters of interest which are … reject and a set of series for which the poolability hypothesis fails. The method can be extended to analyse datasets with …

strongly criticized. The criticisms raise questions about conclusions drawn from secondary inequality datasets in general. We … develop techniques to deal with national and international comparability problems intrinsic to such datasets. The result is a …

We compare the treatment of Colombia in large cross-country conflict datasets with the information of the detailed … micro dataset of Restrepo, Spagat and Vargas (2003). We find a general tendency of the big datasets to underestimate the … the construction of more micro datasets that will facilitate detailed studies of conflict intensity and its dynamics. …

Panel datasets have been increasingly used in economics to analyse complex economic phenomena. One of the attractions … of panel datasets is the ability to use an extended dataset to obtain information about parameters of interest which are …