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ACISICIS
2005
IEEE
15 years 3 months ago
Modeling Uncertainty in Context-Aware Computing
Uncertainty always exists as an unavoidable factor in any pervasive context-aware applications. This is mostly caused by the imperfectness and incompleteness of data. In this pape...
Binh An Truong, Young-Koo Lee, Sungyoung Lee
ICDE
2009
IEEE
151views Database» more  ICDE 2009»
15 years 11 months ago
Decision Trees for Uncertain Data
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, ...
PODS
2009
ACM
229views Database» more  PODS 2009»
15 years 10 months ago
Computing all skyline probabilities for uncertain data
Skyline computation is widely used in multi-criteria decision making. As research in uncertain databases draws increasing attention, skyline queries with uncertain data have also ...
Mikhail J. Atallah, Yinian Qi
PODS
2008
ACM
159views Database» more  PODS 2008»
15 years 9 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 1 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang