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PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao
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
JMLR
2010
125views more  JMLR 2010»
14 years 4 months ago
On utility of gene set signatures in gene expression-based cancer class prediction
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...
SGAI
2007
Springer
15 years 3 months ago
Frequent Set Meta Mining: Towards Multi-Agent Data Mining
In this paper we describe the concept of Meta ARM in the context of its objectives and challenges and go on to describe and analyse a number of potential solutions. Meta ARM is de...
Kamal Ali Albashiri, Frans Coenen, Robert Sanderso...