Anomaly detection has been studied intensively by the data mining community for several years. As a result, many methods to detect anomalies have emerged, and others are still under development. But during recent years, anomaly detection, just like lot of machine learning tasks, is facing wall. This wall, erected lack trust final users, slowed down usage these algorithms in real-world situation...

Abstract This paper provides a sorely-needed evaluation of the view that mathematical explanations in science explain by unifying. Illustrating with some novel examples, I argue is misguided. For believers science, my discussion rules out one way spelling how they work, bringing us step closer to right way. non-believers, it contributes divide-and-conquer strategy for showing there are no such ...

This paper develops an empirical profile of BGP prefix announcements that originate from multiple ASes, so-called MOAS announcements. Analysis of Oregon RouteViews data over one year shows that a small fraction of prefixes are responsible for a very large fraction of all origin AS transitions observed at RouteViews. Moreover, these heavy-hitter prefixes oscillated between two origin ASes. The p...

Although motivation is a well-established field of study in its own right, and has been fruitfully studied in connection with attribution theory and belief formation under the heading of "motivated thinking," its powerful and pervasive influence on specifically explanatory processes is less well explored. Where one has a strong motivation to understand some event correctly, one is thereby motiv...