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DEXAW
2005
IEEE
121views Database» more  DEXAW 2005»
13 years 11 months ago
Relational Methodology for Data Mining and Knowledge Discovery
Evgenii Vityaev, Boris Kovalerchuk
DATAMINE
1998
106views more  DATAMINE 1998»
13 years 5 months ago
Discovering Robust Knowledge from Databases that Change
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
Chun-Nan Hsu, Craig A. Knoblock
KDD
1994
ACM
115views Data Mining» more  KDD 1994»
13 years 9 months ago
Extracting Domain Semantics for Knowledge Discovery in Relational Databases
Our research investigates howdomainsemantics are discovered froma relational database at a high level of automation. Thediscoveries are then represented as the extendedEntityRelat...
Roger H. L. Chiang, Terence M. Barron, Veda C. Sto...
DAWAK
1999
Springer
13 years 9 months ago
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...
Stefan Berchtold, Christian Böhm, Hans-Peter ...
SIGMOD
2011
ACM
270views Database» more  SIGMOD 2011»
12 years 8 months ago
Automatic discovery of attributes in relational databases
In this work we design algorithms for clustering relational columns into attributes, i.e., for identifying strong relationships between columns based on the common properties and ...
Meihui Zhang, Marios Hadjieleftheriou, Beng Chin O...