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KDD
2003
ACM
150views Data Mining» more  KDD 2003»
16 years 4 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
CORR
2012
Springer
202views Education» more  CORR 2012»
13 years 12 months ago
Mining Flipping Correlations from Large Datasets with Taxonomies
In this paper we introduce a new type of pattern – a flipping correlation pattern. The flipping patterns are obtained from contrasting the correlations between items at diffe...
Marina Barsky, Sangkyum Kim, Tim Weninger, Jiawei ...
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
16 years 4 months ago
Online novelty detection on temporal sequences
: Novelty detection, or anomaly detection, on temporal sequences has increasingly attracted attention from researchers in different areas. In this paper, we present a new framework...
Junshui Ma, Simon Perkins
ICDM
2002
IEEE
130views Data Mining» more  ICDM 2002»
15 years 9 months ago
Unsupervised Segmentation of Categorical Time Series into Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series into episodes. The VOTING-EXPERTS algorithm first collects statistics about the frequency an...
Paul R. Cohen, Brent Heeringa, Niall M. Adams
ICDE
2010
IEEE
199views Database» more  ICDE 2010»
15 years 11 months ago
Mining mutation chains in biological sequences
— The increasing infectious disease outbreaks has led to a need for new research to better understand the disease’s origins, epidemiological features and pathogenicity caused b...
Chang Sheng, Wynne Hsu, Mong-Li Lee, Joo Chuan Ton...