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KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 7 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan
PAMI
2007
107views more  PAMI 2007»
15 years 6 months ago
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
—In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that are drawn from a mi...
Yi Ma, Harm Derksen, Wei Hong, John Wright
BMCBI
2005
110views more  BMCBI 2005»
15 years 6 months ago
Considerations when using the significance analysis of microarrays (SAM) algorithm
Background: Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant expression changes in their experiments...
Ola Larsson, Claes Wahlestedt, James A. Timmons
DOLAP
2008
ACM
15 years 8 months ago
Data mining-based fragmentation of XML data warehouses
With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail...
Hadj Mahboubi, Jérôme Darmont
INFORMATICALT
2002
82views more  INFORMATICALT 2002»
15 years 6 months ago
Data Aggregation Sets in Adaptive Data Model
This article presents the ways of identification, selection and transformation of the data into other structures. Relation selection and transformation may change data quantity and...
Petras Gailutis Adomenas, Algirdas Ciucelis