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» Detecting Inconsistencies in Distributed Data
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KDD
2009
ACM
364views Data Mining» more  KDD 2009»
14 years 8 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
ICDM
2006
IEEE
214views Data Mining» more  ICDM 2006»
14 years 1 months ago
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, X...
VLDB
1998
ACM
312views Database» more  VLDB 1998»
13 years 12 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
13 years 11 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...
MM
2010
ACM
198views Multimedia» more  MM 2010»
13 years 7 months ago
Social pixels: genesis and evaluation
Huge amounts of social multimedia is being created daily by a combination of globally distributed disparate sensors, including human-sensors (e.g. tweets) and video cameras. Taken...
Vivek K. Singh, Mingyan Gao, Ramesh Jain