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SOFTWARE
2002
14 years 9 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer
DMIN
2006
144views Data Mining» more  DMIN 2006»
14 years 11 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
ICDM
2003
IEEE
114views Data Mining» more  ICDM 2003»
15 years 3 months ago
Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis
A significant portion of knowledge discovery and data mining research focuses on finding patterns of interest in data. Once a pattern is found, it can be used to recognize satisfy...
Shou-de Lin, Hans Chalupsky
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 2 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
PKDD
2001
Springer
108views Data Mining» more  PKDD 2001»
15 years 2 months ago
Knowledge Discovery in Multi-label Phenotype Data
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
Amanda Clare, Ross D. King