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VLDB
1994
ACM
127views Database» more  VLDB 1994»
15 years 11 months ago
Semantic Integration in Heterogeneous Databases Using Neural Networks
One important step in integrating heterogeneous databases is matching equivalent attributes: Determining which fields in two databasesrefer to the samedata. The meaning of informa...
Wen-Syan Li, Chris Clifton
VLDB
1992
ACM
173views Database» more  VLDB 1992»
15 years 11 months ago
An Extended Relational Database Model for Uncertain and Imprecise Information
We propose an extended relational database model which can model both uncertainty and imprecision in data. This model is basedon Dempster-Shafertheory which has become popular in ...
Suk Kyoon Lee
VLDB
1990
ACM
116views Database» more  VLDB 1990»
15 years 11 months ago
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
Norbert Fuhr
GFKL
2007
Springer
158views Data Mining» more  GFKL 2007»
15 years 10 months ago
Investigating Classifier Learning Behavior with Experiment Databases
Experimental assessment of the performance of classification algorithms is an important aspect of their development and application on real-world problems. To facilitate this analy...
Joaquin Vanschoren, Hendrik Blockeel
167
Voted
CIKM
2001
Springer
15 years 10 months ago
SQL Database Primitives for Decision Tree Classifiers
Scalable data mining in large databases is one of today's challenges to database technologies. Thus, substantial effort is dedicated to a tight coupling of database and data ...
Kai-Uwe Sattler, Oliver Dunemann