An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
While much of the data on the web is unstructured in nature, there is also a significant amount of embedded structured data, such as product information on e-commerce sites or sto...
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
In this paper we consider the problem of segmenting multiple rigid motions using multi?frame point correspondence data. The main idea of the method is to group points according to...
Roberto Lublinerman, Mario Sznaier, Octavia I. Cam...
We improve on previous recommender systems by taking advantage of the layered structure of software. We use a random-walk approach, mimicking the more focused behavior of a develo...
Zachary M. Saul, Vladimir Filkov, Premkumar T. Dev...