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KDD
1994
ACM
115views Data Mining» more  KDD 1994»
14 years 20 days 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...
PAKDD
2001
ACM
121views Data Mining» more  PAKDD 2001»
14 years 1 months ago
Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm
Inclusion of domain knowledge in a process of knowledge discovery in databases is a complex but very important part of successful knowledge discovery solutions. In real-life data m...
Pedro de Almeida
WEBDB
2004
Springer
202views Database» more  WEBDB 2004»
14 years 1 months ago
Mining Approximate Functional Dependencies and Concept Similarities to Answer Imprecise Queries
Current approaches for answering queries with imprecise constraints require users to provide distance metrics and importance measures for attributes of interest. In this paper we ...
Ullas Nambiar, Subbarao Kambhampati
BMCBI
2008
204views more  BMCBI 2008»
13 years 8 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
ICDM
2002
IEEE
163views Data Mining» more  ICDM 2002»
14 years 1 months ago
High Performance Data Mining Using the Nearest Neighbor Join
The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
Christian Böhm, Florian Krebs