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» Dimensionality reduction and generalization
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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 7 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
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 7 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
MOBIHOC
2008
ACM
16 years 6 months ago
Complexity in wireless scheduling: impact and tradeoffs
It has been an important research topic since 1992 to maximize stability region in constrained queueing systems, which includes the study of scheduling over wireless ad hoc networ...
Yung Yi, Alexandre Proutiere, Mung Chiang
WWW
2010
ACM
16 years 1 months ago
Visualizing differences in web search algorithms using the expected weighted hoeffding distance
We introduce a new dissimilarity function for ranked lists, the expected weighted Hoeffding distance, that has several advantages over current dissimilarity measures for ranked s...
Mingxuan Sun, Guy Lebanon, Kevyn Collins-Thompson
IROS
2009
IEEE
129views Robotics» more  IROS 2009»
16 years 1 months ago
Predicting the navigation performance of underwater vehicles
— In this paper we present a general framework for predicting the positioning uncertainty of underwater vehicles. We apply this framework to common examples from marine robotics:...
Brian Bingham