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KDD
1998
ACM
99views Data Mining» more  KDD 1998»
15 years 4 months ago
On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
For a wide variety of classification algorithms, scalability to large databases can be achieved by observing that most algorithms are driven by a set of sufficient statistics that...
Goetz Graefe, Usama M. Fayyad, Surajit Chaudhuri
114
Voted
WWW
2010
ACM
15 years 7 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
188
Voted
INCDM
2010
Springer
486views Data Mining» more  INCDM 2010»
15 years 2 months ago
Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy
This paper describes an approach to temporal pattern mining using the concept of user de ned temporal prototypes to de ne the nature of the trends of interests. The temporal patt...
Vassiliki Somaraki, Deborah Broadbent, Frans Coene...
107
Voted
SACMAT
2010
ACM
15 years 5 months ago
Mining roles with noisy data
There has been increasing interest in automatic techniques for generating roles for role based access control, a process known as role mining. Most role mining approaches assume t...
Ian Molloy, Ninghui Li, Yuan (Alan) Qi, Jorge Lobo...
PAKM
1998
15 years 2 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...