Abstract— Structured peer-to-peer systems have grown enormously because of their scalability, efficiency and reliability. These systems assign a unique identifier to each user ...
Sunam Ryu, Kevin R. B. Butler, Patrick Traynor, Pa...
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
The creation process of technical documentation is an expensive and time-consuming task especially for complex products. To make this process more cost-efficient computerized supp...
The detection of new information in a document stream is an important component of many potential applications. In this paper, a new novelty detection approach based on the identi...
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...