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» An ICA algorithm for analyzing multiple data sets
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SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
14 years 8 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
ANOR
2006
174views more  ANOR 2006»
13 years 8 months ago
Evaluation of choice set generation algorithms for route choice models
This paper discusses choice set generation and route choice model estimation for large-scale urban networks. Evaluating the effectiveness of Advanced Traveler Information Systems (...
Shlomo Bekhor, Moshe E. Ben-Akiva, M. Scott Rammin...
JMLR
2012
11 years 10 months ago
Gaussian Processes for time-marked time-series data
In many settings, data is collected as multiple time series, where each recorded time series is an observation of some underlying dynamical process of interest. These observations...
John Cunningham, Zoubin Ghahramani, Carl Edward Ra...
GIS
2004
ACM
14 years 9 months ago
Efficient detection of motion patterns in spatio-temporal data sets
Moving point object data can be analyzed through the discovery of patterns. We consider the computational efficiency of detecting four such spatio-temporal patterns, namely flock,...
Joachim Gudmundsson, Marc J. van Kreveld, Bettina ...
KDD
1997
ACM
143views Data Mining» more  KDD 1997»
14 years 1 days ago
Anytime Exploratory Data Analysis for Massive Data Sets
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
Padhraic Smyth, David Wolpert