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» Discovering data quality rules
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ICMLC
2010
Springer
13 years 5 months ago
Data mining model in analyzing portuguese studies as the second language acquisition
: Portuguese is specifically a difficult language with luxuriant tenses, and second language acquisition (SLA) is regarded as highly variable. Many (Chinese) students who learn Por...
Sam Chao, Fai Wong, CustoDio Cavaco Martins
VLDB
1997
ACM
117views Database» more  VLDB 1997»
13 years 12 months ago
Optimizing Queries Across Diverse Data Sources
Businesses today need to interrelate data stored in diverse systems with differing capabilities, ideally via a single high-level query interface. We present the design of a query ...
Laura M. Haas, Donald Kossmann, Edward L. Wimmers,...
KDD
1995
ACM
104views Data Mining» more  KDD 1995»
13 years 11 months ago
Using Rough Sets as Tools for Knowledge Discovery
An attribute-oriented rough set method for knowledgediscovery in databases is described. Themethodis based on information generalization, whichexaminesthe data at various levels o...
Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Ni...
CLA
2004
13 years 9 months ago
A Semi-automatic Method to Ontology Design by Using FCA
Ontology design is a complex and time-consuming process. It is extremely difficult for human experts to discover ontology from given data or texts. This paper presents a semi-autom...
Hele-Mai Haav
ICDE
2010
IEEE
311views Database» more  ICDE 2010»
14 years 4 months ago
Detecting Inconsistencies in Distributed Data
— One of the central problems for data quality is inconsistency detection. Given a database D and a set Σ of dependencies as data quality rules, we want to identify tuples in D ...
Wenfei Fan, Floris Geerts, Shuai Ma, Heiko Mü...