Previous studies comparing the prediction accuracy of effort models built using Web cross- and single-company data sets have been inconclusive, and as such replicated studies are ...
Emilia Mendes, Sergio Di Martino, Filomena Ferrucc...
Data cleaning based on similarities involves identification of "close" tuples, where closeness is evaluated using a variety of similarity functions chosen to suit the do...
In recent years, many researchers are studying object categorization problem. It is reported that bag of keypoints approach which is based on local features without topological in...
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Several caching techniques have been used to reduce the bandwidth consumption and to provide faster answers in P2P systems. In this paper, we address the problem of reducing unnec...