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» Support for User Involvement in Data Cleaning
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CHI
2003
ACM
15 years 10 months ago
MiTAP for real users, real data, real problems
The MiTAP system was developed as an experimental prototype using human language technologies for monitoring disease outbreaks. The system provides timely, multi-lingual, global i...
Laurie E. Damianos, Steve Wohlever, Robyn Kozierok...
VLDB
2005
ACM
141views Database» more  VLDB 2005»
15 years 3 months ago
Automatic Data Fusion with HumMer
Heterogeneous and dirty data is abundant. It is stored under different, often opaque schemata, it represents identical real-world objects multiple times, causing duplicates, and ...
Alexander Bilke, Jens Bleiholder, Christoph Bö...
DIS
2001
Springer
15 years 2 months ago
Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web Logs
Rapid growth of digital data collections is overwhelming the capabilities of humans to comprehend them without aid. The extraction of useful data from large raw data sets is someth...
Lida Tang, Ben Shneiderman
DMDW
2000
173views Management» more  DMDW 2000»
14 years 11 months ago
A quality-based framework for physical data warehouse design
Data warehousing is a software infrastructure which supports OLAP applications by providing a collection of tools which allow data extraction and cleaning, data integration and ag...
Mokrane Bouzeghoub, Zoubida Kedad
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
15 years 9 months ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin