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DATAMINE
2010
85views more  DATAMINE 2010»
13 years 5 months ago
SCALE: a scalable framework for efficiently clustering transactional data
Hua Yan, Keke Chen, Ling Liu, Zhang Yi
CIKM
2006
Springer
13 years 6 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
CCGRID
2006
IEEE
13 years 8 months ago
IPMI-based Efficient Notification Framework for Large Scale Cluster Computing
The demand for an efficient fault tolerance system has led to the development of complex monitoring infrastructure, which in turn has created an overwhelming task of data and even...
Chokchai Leangsuksun, Tirumala Rao, Anand Tikoteka...

Publication
248views
13 years 2 months ago
Equalizer: A Scalable Parallel Rendering Framework
Continuing improvements in CPU and GPU performances as well as increasing multi-core processor and cluster-based parallelism demand for flexible and scalable parallel rendering sol...
Stefan Eilemann, Maxim Makhinya, Renato Pajarola
WWW
2008
ACM
14 years 5 months ago
Service-oriented data denormalization for scalable web applications
Many techniques have been proposed to scale web applications. However, the data interdependencies between the database queries and transactions issued by the applications limit th...
Zhou Wei, Dejun Jiang, Guillaume Pierre, Chi-Hung ...