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KDD
2003
ACM
155views Data Mining» more  KDD 2003»
16 years 7 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook
CIDM
2007
IEEE
16 years 29 days ago
Handwritten Digit, Recognition Road to Contest victory
— With growing amount of data gathered nowadays, the need for efficient data mining methodologies is getting more and more common. There is a large number of different classifi...
Norbert Jankowski, Krzysztof Grabczewski
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 7 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
PAKDD
2009
ACM
94views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Item Preference Parameters from Grouped Ranking Observations
Given a set of rating data for a set of items, determining the values of items is a matter of importance and various probability models have been proposed. The Plackett-Luce model ...
Hideitsu Hino, Yu Fujimoto, Noboru Murata
IADIS
2008
15 years 8 months ago
Customer Insights from Transactional Database: Database Marketing Case
Marketing databases are currently one of the most important resources in any marketing departments. Regarding their customer knowledge needs many of them had develop their own dat...
Filipe Mota Pinto, Alzira Ascensão Marques,...