DMDW
2001
13 years 5 months ago
2001
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...
KDD
2000
ACM
13 years 8 months ago
2000
ACM
Existing data cleaning methods work on the basis of computing the degree of similarity between nearby records in a sorted database. High recall is achieved by accepting records wi...
EDBTW
2006
Springer
13 years 8 months ago
2006
Springer
One of the goals of cleaning an inconsistent database is to remove conflicts between tuples. Typically, the user specifies how the conflicts should be resolved. Sometimes this spec...
VLDB
2001
ACM
13 years 9 months ago
2001
ACM
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...
ICEIS
2003
IEEE
13 years 9 months ago
2003
IEEE
: A major problem that arises from integrating different databases is the existence of duplicates. Data cleaning is the process for identifying two or more records within the datab...
VLDB
2004
ACM
13 years 9 months ago
2004
ACM
Data Cleaning is an important process that has been at the center of research interest in recent years. An important end goal of effective data cleaning is to identify the relatio...
DEXA
2004
Springer
13 years 10 months ago
2004
Springer
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...
IQIS
2005
ACM
13 years 10 months ago
2005
ACM
Researchers in the data mining area frequently have to spend significant portion of their time on preprocessing the data in order to apply their algorithms to real-world datasets...
DIS
2007
Springer
13 years 10 months ago
2007
Springer
Ecosystem Informatics brings together mathematical and computational tools to address scientific and policy challenges in the ecosystem sciences. These challenges include novel s...
CAISE
2007
Springer
13 years 10 months ago
2007
Springer
Data cleaning is the process of correcting anomalies in a data source, that may for instance be due to typographical errors, or duplicate representations of an entity. It is a cruc...