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» Mining Very Large Databases
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299
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SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
16 years 3 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
125
Voted
PAKM
1998
15 years 4 months ago
Knowledge Management: A Text Mining Approach
Knowledge Discovery in Databases (KDD), also known as data mining, focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns wi...
Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan A...
141
Voted
DMIN
2006
131views Data Mining» more  DMIN 2006»
15 years 4 months ago
Use of Data Mining to Determine Cheating in Online Student Assessment
are proposing a model to help organizations detect and prevent cheats in online assessments. First we analyze different student personalities, stress situations generated by onlin...
Alberto Ochoa, Amol Wagholikar
KAIS
2008
119views more  KAIS 2008»
15 years 3 months ago
An information-theoretic approach to quantitative association rule mining
Abstract. Quantitative Association Rule (QAR) mining has been recognized an influential research problem over the last decade due to the popularity of quantitative databases and th...
Yiping Ke, James Cheng, Wilfred Ng
142
Voted
BMCBI
2008
152views more  BMCBI 2008»
15 years 3 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...