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KDD
2004
ACM
110views Data Mining» more  KDD 2004»
15 years 10 months ago
Generalizing the notion of support
The goal of this paper is to show that generalizing the notion of support can be useful in extending association analysis to non-traditional types of patterns and non-binary data....
Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin...
ICDM
2008
IEEE
110views Data Mining» more  ICDM 2008»
15 years 4 months ago
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
David A. Cieslak, Nitesh V. Chawla
FOCS
1996
IEEE
15 years 2 months ago
Fault Tolerant Data Structures
We study the tolerance of data structures to memory faults. We observe that many pointerbased data structures (e.g., linked lists, trees, etc.) are highly nonresilient to faults. ...
Yonatan Aumann, Michael A. Bender
SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
14 years 11 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison
GFKL
2004
Springer
154views Data Mining» more  GFKL 2004»
15 years 3 months ago
Discovering Temporal Knowledge in Multivariate Time Series
Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...
Fabian Mörchen, Alfred Ultsch