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PVLDB
2010
159views more  PVLDB 2010»
13 years 9 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...
PVLDB
2008
136views more  PVLDB 2008»
13 years 11 months ago
Keyword query cleaning
Unlike traditional database queries, keyword queries do not adhere to predefined syntax and are often dirty with irrelevant words from natural languages. This makes accurate and e...
Ken Q. Pu, Xiaohui Yu
DEBU
2000
108views more  DEBU 2000»
13 years 11 months ago
Data Cleaning: Problems and Current Approaches
We classify data quality problems that are addressed by data cleaning and provide an overview of the main solution approaches. Data cleaning is especially required when integratin...
Erhard Rahm, Hong Hai Do
TCS
2008
13 years 11 months ago
Cleaning a network with brushes
Following the decontamination metaphor for searching a graph, we introduce a cleaning process, which is related to both the chip-firing game and edge searching. Brushes (instead o...
Margaret-Ellen Messinger, Richard J. Nowakowski, P...
DAM
2010
81views more  DAM 2010»
13 years 11 months ago
Parallel cleaning of a network with brushes
We consider the process of cleaning a network where at each time step, all vertices that have at least as many brushes as incident, contaminated edges, send brushes down these edg...
Serge Gaspers, Margaret-Ellen Messinger, Richard J...