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KDD
2006
ACM
201views Data Mining» more  KDD 2006»
16 years 6 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
15 years 10 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny
ICDE
2003
IEEE
160views Database» more  ICDE 2003»
16 years 7 months ago
SWAT: Hierarchical Stream Summarization in Large Networks
The problem of statistics and aggregate maintenance over data streams has gained popularity in recent years especially in telecommunications network monitoring, trend-related anal...
Ahmet Bulut, Ambuj K. Singh
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 6 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
CLUSTER
2008
IEEE
16 years 20 days 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