In this paper, we present automated techniques for bootstrapping and populating specialized domain ontologies by organizing and mining a set of relevant overlapping Web sites prov...
Hasan Davulcu, Srinivas Vadrevu, Saravanakumar Nag...
The success of any spyware is determined by its ability to evade detection. Although traditional detection methodologies employing signature and anomaly based systems have had rea...
We have developed Environmental Scenario Search Engine (ESSE) for parallel data mining of a set of conditions inside distributed, very large databases from multiple environmental ...
Mikhail N. Zhizhin, Eric A. Kihn, Vassily Lyutsare...
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
We focus on automatic coreference resolution for blogs and news articles with user comments as part of a project on opinion mining. We aim to study the effect of the genre shift f...