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KDD
2007
ACM
141views Data Mining» more  KDD 2007»
15 years 10 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider
SIGUCCS
2006
ACM
15 years 4 months ago
Better results in mathematics lessons with a virtual personal teacher
In this paper we present the results of an experiment made with our e-librarian service ”MatES”, an e-Learning tool on fractions in mathematics. MatES allows students to enter...
Serge Linckels, Carole Dording, Christoph Meinel
DAWAK
2005
Springer
15 years 3 months ago
A Tree Comparison Approach to Detect Changes in Data Warehouse Structures
Abstract. We present a technique for discovering and representing changes between versions of data warehouse structures. We select a tree comparison algorithm, adapt it for the par...
Johann Eder, Christian Koncilia, Karl Wiggisser
ICDCSW
2003
IEEE
15 years 3 months ago
Revealing the Retail Black Box by Interaction Sensing
Today a huge variety of methods to track and analyze the customers’ behavior in e-commerce systems is available. However, in traditional retail stores such systems are not widel...
Christian Decker, Uwe Kubach, Michael Beigl
EPIA
2003
Springer
15 years 3 months ago
Border Detection on Remote Sensing Satellite Data Using Self-Organizing Maps
In this paper, a new approach to Mediterranean Water Eddy border detection is proposed. Kohonen self-organizing maps (SOM) are used as data mining tools to cluster image pixels thr...
Nuno M. C. Marques, Ning Chen