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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
14 years 9 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
14 years 9 months ago
A generalized framework for mining spatio-temporal patterns in scientific data
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
Hui Yang, Srinivasan Parthasarathy, Sameep Mehta
CHI
2003
ACM
14 years 9 months ago
With similar visual angles, larger displays improve spatial performance
Large wall-sized displays are becoming prevalent. Although researchers have articulated qualitative benefits of group work on large displays, little work has been done to quantify...
Desney S. Tan, Darren Gergle, Peter Scupelli, Rand...
CHI
2002
ACM
14 years 9 months ago
Effects of four computer-mediated communications channels on trust development
When virtual teams need to establish trust at a distance, it is advantageous for them to use rich media to communicate. We studied the emergence of trust in a social dilemma game ...
Nathan Bos, Judith S. Olson, Darren Gergle, Gary M...
SIGMOD
2008
ACM
111views Database» more  SIGMOD 2008»
14 years 8 months ago
Discovering bucket orders from full rankings
Discovering a bucket order B from a collection of possibly noisy full rankings is a fundamental problem that relates to various applications involving rankings. Informally, a buck...
Jianlin Feng, Qiong Fang, Wilfred Ng