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CSB
2004
IEEE
15 years 4 months ago
MISAE: A New Approach for Regulatory Motif Extraction
The recognition of regulatory motifs of co-regulated genes is essential for understanding the regulatory mechanisms. However, the automatic extraction of regulatory motifs from a ...
Zhaohui Sun, Jingyi Yang, Jitender S. Deogun
89
Voted
KDD
2009
ACM
189views Data Mining» more  KDD 2009»
15 years 7 months ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...
143
Voted
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
15 years 5 months ago
Using Association Rules for Product Assortment Decisions: A Case Study
It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert We...
KDD
2005
ACM
168views Data Mining» more  KDD 2005»
16 years 1 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 7 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...