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COLCOM
2008
IEEE
16 years 24 days ago
Data Quality and Failures Characterization of Sensing Data in Environmental Applications
Environmental monitoring is one of the most important sensor network application domains. The success of those applications is determined by the quality of the collected data. Thu...
Kewei Sha, Guoxing Zhan, Safwan Al-Omari, Tim Cala...
BMCBI
2005
114views more  BMCBI 2005»
15 years 6 months ago
Quality determination and the repair of poor quality spots in array experiments
Background: A common feature of microarray experiments is the occurence of missing gene expression data. These missing values occur for a variety of reasons, in particular, becaus...
Brian D. M. Tom, Walter R. Gilks, Elizabeth T. Bro...
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
16 years 3 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
DMDW
2001
128views Management» more  DMDW 2001»
15 years 7 months ago
Improving Data Cleaning Quality Using a Data Lineage Facility
The problem of data cleaning, which consists of removing inconsistencies and errors from original data sets, is well known in the area of decision support systems and data warehou...
Helena Galhardas, Daniela Florescu, Dennis Shasha,...
KDD
2004
ACM
125views Data Mining» more  KDD 2004»
15 years 11 months ago
A general approach to incorporate data quality matrices into data mining algorithms
Ian Davidson, Ashish Grover, Ashwin Satyanarayana,...