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» Discovering Relational Patterns across Multiple Databases
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DBA
2006
182views Database» more  DBA 2006»
13 years 9 months ago
Matrix Apriori: Speeding Up the Search for Frequent Patterns
This work discusses the problem of generating association rules from a set of transactions in a relational database, taking performance and accuracy of found results as the essent...
Judith Pavón, Sidney Viana, Santiago G&oacu...
DEXAW
1998
IEEE
116views Database» more  DEXAW 1998»
14 years 8 days ago
Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server
Due to the increasingly di culty of discovering patterns in real-world databases using only conventional OLAP tools, an automated process such as data mining is currently essentia...
Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken
TCSV
2008
150views more  TCSV 2008»
13 years 8 months ago
Mining Recurring Events Through Forest Growing
Recurring events are short temporal patterns that consist of multiple instances in the target database. Without any a priori knowledge of the recurring events, in terms of their le...
Junsong Yuan, Jingjing Meng, Ying Wu, Jiebo Luo
FUIN
2000
109views more  FUIN 2000»
13 years 7 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
Ryszard S. Michalski, Kenneth A. Kaufman
ICDE
2010
IEEE
217views Database» more  ICDE 2010»
14 years 2 months ago
Toward industrial-strength keyword search systems over relational data
– Keyword search (KWS) over relational data, where the answers are multiple tuples connected via joins, has received significant attention in the past decade. Numerous solutions ...
Akanksha Baid, Ian Rae, AnHai Doan, Jeffrey F. Nau...