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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 2 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
105
Voted
KDD
2002
ACM
106views Data Mining» more  KDD 2002»
16 years 2 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
ER
2007
Springer
97views Database» more  ER 2007»
15 years 8 months ago
Towards Active Conceptual Modelling for Sudden Events
There are a number of issues for information systems which are required to collect data urgently that are not well accommodated by current conceptual modelling methodologies and a...
John F. Roddick, Aaron Ceglar, Denise de Vries
215
Voted
GIS
2007
ACM
16 years 3 months ago
Where were we: communities for sharing space-time trails
We consider trails to be a document type of growing importance, authored in abundance as locative technologies become embedded in mobile devices carried by billions of humans. As ...
Scott Counts, Marc Smith
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 2 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu