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PAKDD
2009
ACM
103views Data Mining» more  PAKDD 2009»
14 years 4 months ago
Hot Item Detection in Uncertain Data
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 10 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
ICECCS
1995
IEEE
100views Hardware» more  ICECCS 1995»
14 years 1 months ago
POSD-a notation for presenting complex systems of processes
When trying to describe the behaviour of large systems, such as the business processes of large enterprises, we often adopt diagramming techniques based on derivatives of data flo...
Peter Henderson, Graham D. Pratten
INCDM
2010
Springer
193views Data Mining» more  INCDM 2010»
14 years 2 months ago
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
14 years 3 months ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare