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AI
2004
Springer
16 years 7 days ago
Distributed Data Mining vs. Sampling Techniques: A Comparison
To address the of mining a huge volume of geographically distributed databases, we propose two approaches. The first one is to download only a sample of each database. The second ...
Mohamed Aounallah, Sébastien Quirion, Guy W...
IPPS
2006
IEEE
16 years 26 days ago
Supporting self-adaptation in streaming data mining applications
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...
Liang Chen, Gagan Agrawal
KDD
2004
ACM
161views Data Mining» more  KDD 2004»
16 years 6 days ago
ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study
World steel trade becomes more competitive every day and new high international quality standards and productivity levels can only be achieved by applying the latest computational...
Nicolás de Abajo, Alberto B. Diez, Vanesa L...
SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
15 years 11 months ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar
BMCBI
2008
152views more  BMCBI 2008»
15 years 7 months ago
JCoast - A biologist-centric software tool for data mining and comparison of prokaryotic (meta)genomes
Background: Current sequencing technologies give access to sequence information for genomes and metagenomes at a tremendous speed. Subsequent data processing is mainly performed b...
Michael Richter, Thierry Lombardot, Ivaylo Kostadi...