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STOC
2001
ACM
111views Algorithms» more  STOC 2001»
14 years 8 months ago
Optimal outlier removal in high-dimensional
We study the problem of finding an outlier-free subset of a set of points (or a probability distribution) in n-dimensional Euclidean space. As in [BFKV 99], a point x is defined t...
John Dunagan, Santosh Vempala
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
14 years 8 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
ICDE
2003
IEEE
160views Database» more  ICDE 2003»
14 years 9 months ago
HD-Eye - Visual Clustering of High dimensional Data
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...
Alexander Hinneburg, Daniel A. Keim, Markus Wawryn...
CORR
2008
Springer
141views Education» more  CORR 2008»
13 years 8 months ago
Truthful Unsplittable Flow for Large Capacity Networks
The unsplittable flow problem is one of the most extensively studied optimization problems in the field of networking. An instance of it consists of an edge capacitated graph and ...
Yossi Azar, Iftah Gamzu, Shai Gutner