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KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 9 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
KDD
2007
ACM
151views Data Mining» more  KDD 2007»
16 years 7 months ago
Efficient mining of iterative patterns for software specification discovery
Studies have shown that program comprehension takes up to 45% of software development costs. Such high costs are caused by the lack-of documented specification and further aggrava...
Chao Liu 0001, David Lo, Siau-Cheng Khoo
HPCA
2005
IEEE
16 years 7 months ago
Unbounded Transactional Memory
Hardware transactional memory should support unbounded transactions: transactions of arbitrary size and duration. We describe a hardware implementation of unbounded transactional ...
C. Scott Ananian, Krste Asanovic, Bradley C. Kuszm...
CLUSTER
2008
IEEE
16 years 1 months ago
A trace-driven emulation framework to predict scalability of large clusters in presence of OS Jitter
—Various studies have pointed out the debilitating effects of OS Jitter on the performance of parallel applications on large clusters such as the ASCI Purple and the Mare Nostrum...
Pradipta De, Ravi Kothari, Vijay Mann
INFOCOM
2005
IEEE
16 years 11 days ago
Network localization in partially localizable networks
— Knowing the positions of the nodes in a network is essential to many next generation pervasive and sensor network functionalities. Although many network localization systems ha...
David Kiyoshi Goldenberg, Arvind Krishnamurthy, W....