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SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 7 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
DSN
2002
IEEE
14 years 18 days ago
Pinpoint: Problem Determination in Large, Dynamic Internet Services
Traditional problem determination techniques rely on static dependency models that are difficult to generate accurately in today’s large, distributed, and dynamic application e...
Mike Y. Chen, Emre Kiciman, Eugene Fratkin, Armand...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 2 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
ISPASS
2007
IEEE
14 years 1 months ago
Simplifying Active Memory Clusters by Leveraging Directory Protocol Threads
Address re-mapping techniques in so-called active memory systems have been shown to dramatically increase the performance of applications with poor cache and/or communication beha...
Dhiraj D. Kalamkar, Mainak Chaudhuri, Mark Heinric...
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen