In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
Current Web search engines generally impose link analysis-based re-ranking on web-page retrieval. However, the same techniques, when applied directly to small web search such as i...
Online service providers are engaged in constant conflict with miscreants who try to siphon a portion of legitimate traffic to make illicit profits. We study the abuse of “tr...
Tyler Moore, Nektarios Leontiadis, Nicolas Christi...
This paper describes an exploratory, qualitative study of a process for extracting, identifying and exploiting an enterprise's implicit (less visible) web communities using l...
We present an approach for detecting link spam common in blog comments by comparing the language models used in the blog post, the comment, and pages linked by the comments. In co...