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ICDM
2008
IEEE
141views Data Mining» more  ICDM 2008»
15 years 10 months ago
Scalable Tensor Decompositions for Multi-aspect Data Mining
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensiona...
Tamara G. Kolda, Jimeng Sun
LSSC
2001
Springer
15 years 8 months ago
On the Parallelization of the Sparse Grid Approach for Data Mining
Abstract. Recently we presented a new approach [5, 6] to the classification problem arising in data mining. It is based on the regularization network approach, but in contrast to ...
Jochen Garcke, Michael Griebel
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 6 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
156
Voted
BMCBI
2008
182views more  BMCBI 2008»
15 years 4 months ago
MiMiR - an integrated platform for microarray data sharing, mining and analysis
Background: Despite considerable efforts within the microarray community for standardising data format, content and description, microarray technologies present major challenges i...
Chris Tomlinson, Manjula Thimma, Stelios Alexandra...
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
15 years 10 months ago
Unsupervised Clustering In Streaming Data
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
Dimitris K. Tasoulis, Niall M. Adams, David J. Han...