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» Support for User Involvement in Data Cleaning
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DAWAK
2011
Springer
12 years 4 months ago
Support for User Involvement in Data Cleaning
Data cleaning and ETL processes are usually modeled as graphs of data transformations. The involvement of the users responsible for executing these graphs over real data is importa...
Helena Galhardas, Antónia Lopes, Emanuel Sa...
DMDW
2001
128views Management» more  DMDW 2001»
13 years 5 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,...
VLDB
2001
ACM
108views Database» more  VLDB 2001»
13 years 8 months ago
Potter's Wheel: An Interactive Data Cleaning System
Cleaning data of errors in structure and content is important for data warehousing and integration. Current solutions for data cleaning involve many iterations of data “auditing...
Vijayshankar Raman, Joseph M. Hellerstein
DEXA
2004
Springer
147views Database» more  DEXA 2004»
13 years 9 months ago
A Flexible Fuzzy Expert System for Fuzzy Duplicate Elimination in Data Cleaning
Data cleaning deals with the detection and removal of errors and inconsistencies in data, gathered from distributed sources. This process is essential for drawing correct conclusio...
Hamid Haidarian Shahri, Ahmad Abdollahzadeh Barfor...
PVLDB
2010
159views more  PVLDB 2010»
13 years 2 months ago
Explore or Exploit? Effective Strategies for Disambiguating Large Databases
Data ambiguity is inherent in applications such as data integration, location-based services, and sensor monitoring. In many situations, it is possible to “clean”, or remove, ...
Reynold Cheng, Eric Lo, Xuan Yang, Ming-Hay Luk, X...