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KDD
2006
ACM
173views Data Mining» more  KDD 2006»
14 years 8 months ago
BLOSOM: a framework for mining arbitrary boolean expressions
We introduce a novel framework (BLOSOM) for mining (frequent) boolean expressions over binary-valued datasets. We organize the space of boolean expressions into four categories: p...
Lizhuang Zhao, Mohammed J. Zaki, Naren Ramakrishna...
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 8 months ago
A highly-usable projected clustering algorithm for gene expression profiles
Projected clustering has become a hot research topic due to its ability to cluster high-dimensional data. However, most existing projected clustering algorithms depend on some cri...
Kevin Y. Yip, David W. Cheung, Michael K. Ng
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 8 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
CHI
2007
ACM
14 years 8 months ago
Towards a new method for the evaluation of reality based interaction
In this paper we present work toward a new method of evaluation for Reality-Based Interaction Styles that we call Cognitive Description and Evaluation of Interaction (CoDeIn). Thi...
Georgios Christou
CHI
2005
ACM
14 years 8 months ago
Topic spotting common sense translation assistant
Our Translation Assistant applies common sense logic to the problem of translating speech in real time from one language to another. Using speech recognition combined with a softw...
Jae-woo Chung, Rachel Kern, Henry Lieberman