We generalize the point information gain (PIG) and derived quantities, i.e., point information gain entropy (PIE) and point information gain entropy density (PIED), for the case of the Rényi entropy and simulate the behavior of PIG for typical distributions. We also use these methods for the analysis of multidimensional datasets. We demonstrate the main properties of PIE/PIED spectra for the re...

The expeditious proliferation of the internet to ubiquity, the infrangible dependence of global enterprises on Web services, the universal adoption of SOA, cloud computing, social media and online publishing has made XML the lingua franca of the digital age and has generated a plethora of data in XML. The immense popularity of NoSQL and document-oriented data stores have also added tremendously...

The emerging area of business process intelligence attempts to enhance the analytical capabilities of business process management systems by employing data warehousing and mining technologies. This paper presents an approach to re-engineering the business process modeling in conformity with the multidimensional data model. Since the business process and the multidimensional model are driven by ...

In this article we introduce line Smoothness-Increasing Accuracy-Conserving Multi-Resolution Analysis. This is a procedure for exploiting convolution kernel post-processors obtaining more accurate multidimensional multiresolution analysis in terms of error reduction. filtering-projection tool allows the transition data between different resolutions while simultaneously decreasing errors fine gr...