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...
Matching dependencies were recently introduced as declarative rules for data cleaning and entity resolution. Enforcing a matching dependency on a database instance identifies the ...
Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. La...
Outliers are observations that do not follow the statistical distribution of the bulk of the data, and consequently may lead to erroneous results with respect to statistical analy...
Integrity constraints, a.k.a. data dependencies, are being widely used for improving the quality of schema. Recently constraints have enjoyed a revival for improving the quality o...
Nowadays, wireless sensor networks have been widely used in many monitoring applications. Due to the low quality of sensors and random effects of the environment, however, it is ...
Yongzhen Zhuang, Lei Chen 0002, Xiaoyang Sean Wang...