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» Driver Measurement: Methods and Applications
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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 9 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
184views Data Mining» more  KDD 2007»
14 years 9 months ago
Correlation search in graph databases
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Yiping Ke, James Cheng, Wilfred Ng
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
14 years 9 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
KDD
2003
ACM
99views Data Mining» more  KDD 2003»
14 years 9 months ago
Fragments of order
High-dimensional collections of 0-1 data occur in many applications. The attributes in such data sets are typically considered to be unordered. However, in many cases there is a n...
Aristides Gionis, Teija Kujala, Heikki Mannila
MOBISYS
2008
ACM
14 years 8 months ago
Peopletones: a system for the detection and notification of buddy proximity on mobile phones
Mobile phones have the potential to be useful agents for their owners by detecting and reporting situations that are of interest. Several challenges emerge in the case of detectin...
Kevin A. Li, Timothy Sohn, Steven Huang, William G...