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KDD
2012
ACM
243views Data Mining» more  KDD 2012»
13 years 2 months ago
Storytelling in entity networks to support intelligence analysts
Intelligence analysts grapple with many challenges, chief among them is the need for software support in storytelling, i.e., automatically ‘connecting the dots’ between dispar...
M. Shahriar Hossain, Patrick Butler, Arnold P. Boe...
KDD
2005
ACM
89views Data Mining» more  KDD 2005»
16 years 8 days ago
Mining risk patterns in medical data
In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemi...
Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen...
DAWAK
2010
Springer
15 years 1 months ago
Discovery and Application of Functional Dependencies in Conjunctive Query Mining
Abstract. We present an algorithm for mining frequent queries in arbitrary relational databases, over which functional dependencies are assumed. Building upon previous results, we ...
Bart Goethals, Dominique Laurent, Wim Le Page
ICDM
2006
IEEE
122views Data Mining» more  ICDM 2006»
15 years 6 months ago
Optimal Segmentation Using Tree Models
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequences have a strong segmental str...
Robert Gwadera, Aristides Gionis, Heikki Mannila
PVLDB
2008
107views more  PVLDB 2008»
14 years 11 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald