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KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 6 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
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 6 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
16 years 6 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
CHI
2007
ACM
16 years 6 months ago
Multiview: improving trust in group video conferencing through spatial faithfulness
Video conferencing is still considered a poor alternative to face-to-face meetings. In the business setting, where these systems are most prevalent, the misuse of video conferenci...
David T. Nguyen, John Canny
CHI
2004
ACM
16 years 6 months ago
Automatic support for web user studies with SCONE and TEA
This paper describes the concepts of TEA, a flexible tool that supports user tests by automating repetitive tasks and collecting data of user inputs and actions. TEA was specifica...
Hartmut Obendorf, Harald Weinreich, Torsten Hass