With the advances in cloud computing and huge RAMs provided by 64-bit architectures, it is possible to tackle large problems using memory-based solutions. Construction of term-based, partitioned, parallel inverted indexes is a communication intensive task and suitable for memory-based modeling. In this paper, we provide an efficient parallel framework for in-memory construction of term-based pa...

We compare the social character networks of biographical, legendary and fictional texts, in search of statistical marks of historical information. We examine the frequency of character appearance and find a Zipf Law that does not depend on the literary genera and historical content. We also examine global and local complex networks indexes, in particular, correlation plots between the recently ...

With the rapid advancements in positioning technologies such as the Global Positioning System (GPS) and wireless communications, the tracking of continuously moving objects has become more convenient. However, this development poses new challenges to database technology since maintaining up-to-date information regarding the location of moving objects incurs an enormous amount of updates. Existi...

We consider in this paper the problem of the blind deconvolution of positive peaks, i.e. we wish to restore a sparse spike train whose peaks are positive and to estimate the impulse response and the problem hyperparameters. Because of the complexity of the posterior global criterion, we use an MCMC method based on the Gibbs sampler. Finally, we propose two new indexes to give an estimate of the...

This study aims to examine the differences in various cluster validity indexes grouping of credit customers at Bank X Malang City, Indonesia using average linkage and Euclidean distance methods. uses primary data with variables used are service quality, environment, mode, willingness pay, obedient paying behavior obtained through a questionnaire Likert scale purposive sampling distributed 100 r...