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99
Voted
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
15 years 11 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
93
Voted
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
15 years 11 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
89
Voted
PAKM
1998
15 years 7 days 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...
66
Voted
ICDIM
2009
IEEE
14 years 8 months ago
Mining the blogosphere to generate local cuisine hotspots for mobile map service
On-the-go consumers require dynamic information, particularly "word of mouth," to make better purchase decisions. A popular genre of mobile map services is travel/cuisin...
Chia Chun Shih, Ting-Chun Peng, Wei Shen Lai
101
Voted
CIKM
2010
Springer
14 years 9 months ago
Preserving location and absence privacy in geo-social networks
Online social networks often involve very large numbers of users who share very large volumes of content. This content is increasingly being tagged with geo-spatial and temporal c...
Dario Freni, Carmen Ruiz Vicente, Sergio Mascetti,...