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KDD
2008
ACM
135views Data Mining» more  KDD 2008»
14 years 10 months ago
DiMaC: a disguised missing data cleaning tool
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
SIGMOD
2008
ACM
167views Database» more  SIGMOD 2008»
14 years 10 months ago
DiMaC: a system for cleaning disguised missing data
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
ICASSP
2010
IEEE
13 years 10 months ago
Training a support vector machine to classify signals in a real environment given clean training data
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum...
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
14 years 10 months ago
Cleaning disguised missing data: a heuristic approach
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
GI
2007
Springer
14 years 4 months ago
Ontology Based Data Validation and Cleaning: Restructuring Operations for Ontology Maintenance
: Data validation and cleaning are integral processes of the data quality management cycle. Domain specific knowledge is needed to detect and correct semantic errors. Ontologies c...
Stefan Brüggemann, Thomas Aden