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» Discovering data quality rules
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DOLAP
2010
ACM
13 years 5 months ago
Using ontologies to discover fact IDs
Object identification is a crucial step in most information systems. Nowadays, we have many different ways to identify entities such as surrogates, keys and object identifiers. Ho...
Alberto Abelló, Oscar Romero
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran
PVLDB
2010
151views more  PVLDB 2010»
13 years 6 months ago
Data Auditor: Exploring Data Quality and Semantics using Pattern Tableaux
We present Data Auditor, a tool for exploring data quality and data semantics. Given a rule or an integrity constraint and a target relation, Data Auditor computes pattern tableau...
Lukasz Golab, Howard J. Karloff, Flip Korn, Divesh...
SRDS
2010
IEEE
13 years 5 months ago
A Cooperative Sampling Approach to Discovering Optimal Configurations in Large Scale Computing Systems
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the...
Haifeng Chen, Guofei Jiang, Hui Zhang 0002, Kenji ...