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110
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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 8 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
152
Voted
ISB
2002
140views more  ISB 2002»
15 years 3 months ago
Computer system "Gene Discovery" for promoter structure analysis
Data Mining and Knowledge Discovery techniques proved to be efficient tools for variety of complex tasks in biology including DNA research. This paper presents implementation of th...
Eugenii E. Vityaev, Yuri L. Orlov, Oleg V. Vishnev...
110
Voted
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 2 months ago
Learning Algorithms for Link Prediction Based on Chance Constraints
In this paper, we consider the link prediction problem, where we are given a partial snapshot of a network at some time and the goal is to predict the additional links formed at a ...
Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lis...
143
Voted
DILS
2006
Springer
15 years 7 months ago
Collection-Oriented Scientific Workflows for Integrating and Analyzing Biological Data
Steps in scientific workflows often generate collections of results, causing the data flowing through workflows to become increasingly nested. Because conventional workflow compone...
Timothy M. McPhillips, Shawn Bowers, Bertram Lud&a...
153
Voted
PRIB
2009
Springer
209views Bioinformatics» more  PRIB 2009»
15 years 10 months ago
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...