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» Scalable mining of large disk-based graph databases
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SIGMOD
2011
ACM
218views Database» more  SIGMOD 2011»
12 years 10 months ago
A data-oriented transaction execution engine and supporting tools
Conventional OLTP systems assign each transaction to a worker thread and that thread accesses data, depending on what the transaction dictates. This thread-to-transaction work ass...
Ippokratis Pandis, Pinar Tözün, Miguel B...
FIMI
2003
170views Data Mining» more  FIMI 2003»
13 years 9 months ago
kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets
This paper presents the implementation of kDCI, an enhancement of DCI [10], a scalable algorithm for discovering frequent sets in large databases. The main contribution of kDCI re...
Salvatore Orlando, Claudio Lucchese, Paolo Palmeri...
SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
14 years 7 months ago
Paths to stardom: calibrating the potential of a peer-based data management system
As peer-to-peer (P2P) networks become more familiar to the database community, intense interest has built up in using their scalability and resilience properties to scale database...
Mihai Lupu, Beng Chin Ooi, Y. C. Tay
IS
2007
13 years 7 months ago
Discovering frequent geometric subgraphs
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...
Michihiro Kuramochi, George Karypis
ICDCS
2002
IEEE
14 years 14 days ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...