Since the last in-depth studies of measured TCP traffic some 68 years ago, the Internet has experienced significant changes, including the rapid deployment of backbone links wit...
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
Semantic similarity between words or phrases is frequently used to find matching correlations between search queries and documents when straightforward matching of terms fails. Th...
This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set. within a certain topic. Each blog...
Ahmed Hassan, Dragomir R. Radev, Junghoo Cho, Amru...
Predicting software quality as perceived by a customer may allow an organization to adjust deployment to meet the quality expectations of its customers, to allocate the appropriat...