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BNCOD
2009
182views Database» more  BNCOD 2009»
13 years 6 months ago
Conditional Dependencies: A Principled Approach to Improving Data Quality
Real-life date is often dirty and costs billions of pounds to businesses worldwide each year. This paper presents a promising approach to improving data quality. It effectively det...
Wenfei Fan, Floris Geerts, Xibei Jia
PVLDB
2008
111views more  PVLDB 2008»
13 years 4 months ago
Semandaq: a data quality system based on conditional functional dependencies
We present SEMANDAQ, a prototype system for improving the quality of relational data. Based on the recently proposed conditional functional dependencies (CFDs), it detects and rep...
Wenfei Fan, Floris Geerts, Xibei Jia
PAKDD
2005
ACM
160views Data Mining» more  PAKDD 2005»
13 years 10 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...
ICDE
2007
IEEE
146views Database» more  ICDE 2007»
14 years 6 months ago
Conditional Functional Dependencies for Data Cleaning
We propose a class of constraints, referred to as conditional functional dependencies (CFDs), and study their applications in data cleaning. In contrast to traditional functional ...
Philip Bohannon, Wenfei Fan, Floris Geerts, Xibei ...
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 2 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...