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» Developing an Open Architecture for Performance Data Mining
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DATE
2007
IEEE
185views Hardware» more  DATE 2007»
14 years 3 months ago
An ILP formulation for system-level application mapping on network processor architectures
Current day network processors incorporate several architectural features including symmetric multi-processing (SMP), block multi-threading, and multiple memory elements to suppor...
Christopher Ostler, Karam S. Chatha
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 3 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 9 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
JMS
2006
90views more  JMS 2006»
13 years 9 months ago
Healthcare Informatics Research: From Data to Evidence-Based Management
Healthcare informatics research is a scientific endeavor that applies information science, computer technology, and statistical modeling techniques to develop decision support syst...
Thomas T. H. Wan
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 10 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...