The complexity of round robin iterative data flow analysis has been traditionally defined as 1+d where d is the depth of a control flow graph. However, this bound is restricted to ...
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
To formulate a meaningful query on semistructured data, such as on the Web, that matches some of the source’s structure, we need first to discover something about how the infor...
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...