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BMCBI
2006
202views more  BMCBI 2006»
13 years 7 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 7 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
ICDE
2005
IEEE
135views Database» more  ICDE 2005»
14 years 9 months ago
Finding (Recently) Frequent Items in Distributed Data Streams
We consider the problem of maintaining frequency counts for items occurring frequently in the union of multiple distributed data streams. Na?ive methods of combining approximate f...
Amit Manjhi, Vladislav Shkapenyuk, Kedar Dhamdhere...
ATS
2001
IEEE
137views Hardware» more  ATS 2001»
13 years 11 months ago
Compaction Schemes with Minimum Test Application Time
Testing embedded cores in a System-on-a-chip necessitates the use of a Test Access Mechanism, which provides for transportation of the test data between the chip and the core I/Os...
Ozgur Sinanoglu, Alex Orailoglu
BMCBI
2008
109views more  BMCBI 2008»
13 years 7 months ago
MetaFIND: A feature analysis tool for metabolomics data
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
Kenneth Bryan, Lorraine Brennan, Padraig Cunningha...