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» A Perspective on Databases and Data Mining
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PPOPP
2005
ACM
14 years 2 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
JDWM
2007
90views more  JDWM 2007»
13 years 8 months ago
Mining for Mutually Exclusive Items in Transaction Databases
Association rule mining is a popular task that involves the discovery of co-occurences of items in transaction databases. Several extensions of the traditional association rule mi...
George Tzanis, Christos Berberidis
PSD
2004
Springer
186views Database» more  PSD 2004»
14 years 2 months ago
Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type
In an on-line statistical database, the query-answering system should prevent answers to statistical queries from leading to disclosure of confidential data. On the other hand, a s...
Francesco M. Malvestuto, Mauro Mezzini
MSR
2010
ACM
14 years 1 months ago
The Ultimate Debian Database: Consolidating bazaar metadata for Quality Assurance and data mining
—FLOSS distributions like RedHat and Ubuntu require a lot more complex infrastructures than most other FLOSS projects. In the case of community-driven distributions like Debian, ...
Lucas Nussbaum, Stefano Zacchiroli
BMCBI
2007
154views more  BMCBI 2007»
13 years 8 months ago
PepBank - a database of peptides based on sequence text mining and public peptide data sources
Background: Peptides are important molecules with diverse biological functions and biomedical uses. To date, there does not exist a single, searchable archive for peptide sequence...
Timur Shtatland, Daniel Guettler, Misha Kossodo, M...