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CHI
2011
ACM
12 years 11 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
SIGMETRICS
2008
ACM
135views Hardware» more  SIGMETRICS 2008»
13 years 7 months ago
In search of the elusive ground truth: the internet's as-level connectivity structure
Despite significant efforts to obtain an accurate picture of the Internet's actual connectivity structure at the level of individual autonomous systems (ASes), much has remai...
Ricardo V. Oliveira, Dan Pei, Walter Willinger, Be...
VRML
2003
ACM
14 years 23 days ago
Early experiences with a 3D model search engine
New acquisition and modeling tools make it easier to create 3D models, and affordable and powerful graphics hardware makes it easier to use them. As a result, the number of 3D mo...
Patrick Min, John A. Halderman, Michael M. Kazhdan...
WWW
2006
ACM
14 years 8 months ago
Interactive wrapper generation with minimal user effort
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...
Utku Irmak, Torsten Suel
WWW
2010
ACM
13 years 7 months ago
Using a model of social dynamics to predict popularity of news
Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items ...
Kristina Lerman, Tad Hogg