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ECML
1997
Springer
15 years 3 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
66
Voted
CSDA
2008
65views more  CSDA 2008»
14 years 11 months ago
How to compare small multivariate samples using nonparametric tests
In plant pathology, in particular, and plant science, in general, experiments are often conducted to determine disease and related responses of plants to various treatments. Typic...
Arne C. Bathke, Solomon W. Harrar, Laurence V. Mad...
VISUALIZATION
1999
IEEE
15 years 4 months ago
Hierarchical Parallel Coordinates for Exploration of Large Datasets
Our ability to accumulate large, complex (multivariate) data sets has far exceeded our ability to effectively process them in search of patterns, anomalies, and other interesting ...
Ying-Huey Fua, Matthew O. Ward, Elke A. Rundenstei...
ICASSP
2010
IEEE
14 years 12 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
JSC
2007
80views more  JSC 2007»
14 years 11 months ago
Improved dense multivariate polynomial factorization algorithms
We present new deterministic and probabilistic algorithms that reduce the factorization of dense polynomials from several to one variable. The deterministic algorithm runs in sub-...
Grégoire Lecerf