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» Distributed Data Mining Models as Services on the Grid
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ICDM
2009
IEEE
113views Data Mining» more  ICDM 2009»
16 years 1 months ago
Connecting Sparsely Distributed Similar Bloggers
—The nature of the Blogosphere determines that the majority of bloggers are only connected with a small number of fellow bloggers, and similar bloggers can be largely disconnecte...
Nitin Agarwal, Huan Liu, Shankara B. Subramanya, J...
VLDB
2005
ACM
140views Database» more  VLDB 2005»
15 years 12 months ago
Loadstar: Load Shedding in Data Stream Mining
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Yun Chi, Haixun Wang, Philip S. Yu
CPAIOR
2008
Springer
15 years 8 months ago
Optimal Deployment of Eventually-Serializable Data Services
Abstract. Replication is a fundamental technique for increasing throughput and achieving fault tolerance in distributed data services. However, its implementation may induce signif...
Laurent Michel, Alexander A. Shvartsman, Elaine L....
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
15 years 10 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
RIVF
2008
15 years 7 months ago
Unsupervised learning for image classification based on distribution of hierarchical feature tree
The classification image into one of several categories is a problem arisen naturally under a wide range of circumstances. In this paper, we present a novel unsupervised model for ...
Thach-Thao Duong, Joo-Hwee Lim, Hai-Quan Vu, Jean-...