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BMCBI
2007
123views more  BMCBI 2007»
13 years 7 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
CHI
2009
ACM
14 years 8 months ago
Taking the time to care: empowering low health literacy hospital patients with virtual nurse agents
Ninety million Americans have inadequate health literacy, resulting in a reduced ability to read and follow directions in the healthcare environment. We describe an animated, empa...
Timothy W. Bickmore, Laura M. Pfeifer, Brian W. Ja...
WISE
2009
Springer
14 years 4 months ago
Web Queries: From a Web of Data to a Semantic Web
ct One significant effort towards combining the virtues of Web search, viz. being accessible to untrained users and able to cope with vastly heterogeneous data, with those of dat...
François Bry, Tim Furche, Klara A. Weiand
BPM
2009
Springer
340views Business» more  BPM 2009»
14 years 1 months ago
Abstractions in Process Mining: A Taxonomy of Patterns
ions in Process Mining: A Taxonomy of Patterns R.P. Jagadeesh Chandra Bose1,2 and Wil M.P. van der Aalst1 1 Department of Mathematics and Computer Science, University of Technology...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
CIKM
2009
Springer
14 years 1 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu