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» Efficient Discovery of Confounders in Large Data Sets
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EDM
2009
184views Data Mining» more  EDM 2009»
15 years 4 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
16 years 1 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
KAIS
2000
87views more  KAIS 2000»
15 years 6 months ago
An Index Structure for Data Mining and Clustering
Abstract. In this paper we present an index structure, called MetricMap, that takes a set of objects and a distance metric and then maps those objects to a k-dimensional space in s...
Xiong Wang, Jason Tsong-Li Wang, King-Ip Lin, Denn...
DEXAW
2004
IEEE
123views Database» more  DEXAW 2004»
15 years 10 months ago
Self-Adaptive and Self-Optimising Resource Monitoring for Dynamic Grid Environments
As the number of resources on the Grid tends to be very dynamic and potentially large, it becomes increasingly important to discover and monitor them efficiently. This paper conce...
Helene N. Lim Choi Keung, Justin R. D. Dyson, Step...
BPM
2009
Springer
161views Business» more  BPM 2009»
16 years 28 days ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...