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» Large graph processing in the cloud
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190
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ICDE
2008
IEEE
203views Database» more  ICDE 2008»
15 years 11 months ago
Training Linear Discriminant Analysis in Linear Time
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Deng Cai, Xiaofei He, Jiawei Han
SIGMOD
2009
ACM
139views Database» more  SIGMOD 2009»
15 years 10 months ago
Vispedia: on-demand data integration for interactive visualization and exploration
Wikipedia is an example of the large, collaborative, semi-structured data sets emerging on the Web. Typically, before these data sets can be used, they must transformed into struc...
Bryan Chan, Justin Talbot, Leslie Wu, Nathan Sakun...
81
Voted
ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
15 years 4 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
ICPADS
2005
IEEE
15 years 3 months ago
An Efficient Partition-Based Parallel PageRank Algorithm
PageRank becomes the most well-known re-ranking technique of the search results. By its iterative computational nature, the computation takes much computing time and resource. Res...
Bundit Manaskasemsak, Arnon Rungsawang
MICRO
2003
IEEE
95views Hardware» more  MICRO 2003»
15 years 2 months ago
Processor Acceleration Through Automated Instruction Set Customization
Application-specific extensions to the computational capabilities of a processor provide an efficient mechanism to meet the growing performance and power demands of embedded appl...
Nathan Clark, Hongtao Zhong, Scott A. Mahlke