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156
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KDD
2012
ACM
263views Data Mining» more  KDD 2012»
13 years 6 months ago
Integrating community matching and outlier detection for mining evolutionary community outliers
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han
HPCN
1995
Springer
15 years 7 months ago
Exploiting high performance Fortran for computational fluid dynamics
Abstract. We discuss the High Performance Fortran data parallel programming language as an aid to software engineering and as a tool for exploiting High Performance Computing syste...
Kenneth A. Hawick, Geoffrey Fox
135
Voted
PAMI
2006
127views more  PAMI 2006»
15 years 3 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
121
Voted
MSS
1999
IEEE
140views Hardware» more  MSS 1999»
15 years 7 months ago
Pursuit of a Scalable High Performance Multi-Petabyte Database
When the BaBar experiment at the Stanford Linear Accelerator Center starts in April 1999, it will generate approximately 200TB/year of data at a rate of 10MB/sec for 10 years. A m...
Andrew Hanushevsky, Marcia Nowark
ADMA
2008
Springer
122views Data Mining» more  ADMA 2008»
15 years 10 months ago
Open Domain Recommendation: Social Networks and Collaborative Filtering
Commercial enterprises employ data mining techniques to recommend products to their customers. Most of the prior research is usually focused on a specific domain such as movies or...
Sarah K. Tyler, Yi Zhang