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ICIC
2005
Springer
15 years 3 months ago
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
In recent years, mining with imbalanced data sets receives more and more attentions in both theoretical and practical aspects. This paper introduces the importance of imbalanced da...
Hui Han, Wenyuan Wang, Binghuan Mao
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
15 years 10 months ago
A generalized framework for mining spatio-temporal patterns in scientific data
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
Hui Yang, Srinivasan Parthasarathy, Sameep Mehta
ECRA
2007
113views more  ECRA 2007»
14 years 9 months ago
Exclusions and related trust relationships in multi-party fair exchange protocols
Some electronic commerce transactions are inherently performed between more than two parties. In this context, it is thus important to determine whether the underlying fair exchan...
Nicolás González-Deleito, Olivier Ma...
KDD
1998
ACM
122views Data Mining» more  KDD 1998»
15 years 2 months ago
Memory Placement Techniques for Parallel Association Mining
Many data mining tasks (e.g., Association Rules, Sequential Patterns) use complex pointer-based data structures (e.g., hash trees) that typically suffer from sub-optimal data loca...
Srinivasan Parthasarathy, Mohammed Javeed Zaki, We...
CHI
2005
ACM
15 years 10 months ago
Effects of tiled high-resolution display on basic visualization and navigation tasks
Large high-resolution screens are becoming increasingly available and less expensive. This creates potential advantages for data visualization in that more dense data and fine det...
Robert Ball, Chris North