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KDD
2005
ACM
162views Data Mining» more  KDD 2005»
16 years 5 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...
ICDAR
2003
IEEE
15 years 10 months ago
Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 9 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
166
Voted
BMCBI
2008
161views more  BMCBI 2008»
15 years 5 months ago
Inferring gene expression dynamics via functional regression analysis
Background: Temporal gene expression profiles characterize the time-dynamics of expression of specific genes and are increasingly collected in current gene expression experiments....
Hans-Georg Müller, Jeng-Min Chiou, Xiaoyan Le...
128
Voted
AIMS
2007
Springer
15 years 11 months ago
Harnessing Models for Policy Conflict Analysis
Policy conflict analysis processes based solely on the examination of policy language constructs can not readily discern the semantics associated with the managed system for which ...
Steven Davy, Brendan Jennings