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» Processing Sequential Patterns in Relational Databases
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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
14 years 27 days ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
14 years 9 months ago
Mining Views: Database Views for Data Mining
We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining vi...
Élisa Fromont, Adriana Prado, Bart Goethals...
VLDB
2005
ACM
139views Database» more  VLDB 2005»
14 years 1 months ago
Tree-Pattern Queries on a Lightweight XML Processor
Popular XML languages, like XPath, use “treepattern” queries to select nodes based on their structural characteristics. While many processing methods have already been propose...
Mirella Moura Moro, Zografoula Vagena, Vassilis J....
SIGMOD
2009
ACM
218views Database» more  SIGMOD 2009»
14 years 7 months ago
DejaVu: declarative pattern matching over live and archived streams of events
DejaVu is an event processing system that integrates declarative pattern matching over live and archived streams of events on top of a novel system architecture. We propose to dem...
Nihal Dindar, Baris Güç, Patrick Lau, ...
ICDE
2008
IEEE
120views Database» more  ICDE 2008»
14 years 9 months ago
Direct Discriminative Pattern Mining for Effective Classification
The application of frequent patterns in classification has demonstrated its power in recent studies. It often adopts a two-step approach: frequent pattern (or classification rule) ...
Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu