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ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
14 years 7 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
PAKDD
2005
ACM
160views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Improving Mining Quality by Exploiting Data Dependency
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...
ITEE
2007
14 years 11 months ago
Data Quality Mining: Employing Classifiers for Assuring Consistent Datasets
Abstract: Independent from the concrete definition of the term “data quality” consistency always plays a major role. There are two main points when dealing with the data qualit...
Fabian Grüning
BMCBI
2006
195views more  BMCBI 2006»
14 years 9 months ago
Hubs of knowledge: using the functional link structure in Biozon to mine for biologically significant entities
Background: Existing biological databases support a variety of queries such as keyword or definition search. However, they do not provide any measure of relevance for the instance...
Paul Shafer, Timothy Isganitis, Golan Yona
112
Voted
IQ
2007
14 years 11 months ago
Assessing Information Quality In A RFID-Integrated Shelf Replenishment Decision Support System For The Retail Industry
: Motivated by the problem of out-of-shelf (OOS) in retail industry and the emergence of RFID (Radio Frequency Identification) technology, this paper investigates the impact that t...
Cleopatra Bardaki, Katerina Pramatari