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» Data Farming: Discovering Surprise
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CBMS
2005
IEEE
14 years 29 days ago
A Practical Tool for Visualizing and Data Mining Medical Time Series
The increasing interest in time series data mining has had surprisingly little impact on real world medical applications. Practitioners who work with time series on a daily basis ...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
ICDE
2005
IEEE
180views Database» more  ICDE 2005»
14 years 8 months ago
A Unified Framework for Monitoring Data Streams in Real Time
Online monitoring of data streams poses a challenge in many data-centric applications, such as telecommunications networks, traffic management, trend-related analysis, webclick st...
Ahmet Bulut, Ambuj K. Singh
AAAI
2006
13 years 8 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 8 months ago
Patterns of Cascading Behavior in Large Blog Graphs
How do blogs cite and influence each other? How do such links evolve? Does the popularity of old blog posts drop exponentially with time? These are some of the questions that we ...
Jure Leskovec, Mary McGlohon, Christos Faloutsos, ...
PROFES
2010
Springer
13 years 11 months ago
Regularities in Learning Defect Predictors
Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
Burak Turhan, Ayse Basar Bener, Tim Menzies