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DEXA
2010
Springer
180views Database» more  DEXA 2010»
13 years 5 months ago
Identifying Interesting Instances for Probabilistic Skylines
Significant research efforts have recently been dedicated to modeling and querying uncertain data. In this paper, we focus on skyline analysis of uncertain data, modeled as uncert...
Yinian Qi, Mikhail J. Atallah
CAISE
2010
Springer
13 years 5 months ago
Probabilistic Models to Reconcile Complex Data from Inaccurate Data Sources
There is a large amount of data that is published on the Web and several techniques have been developed to extract and integrate data from Web sources. However, Web data are inhere...
Lorenzo Blanco, Valter Crescenzi, Paolo Merialdo, ...
PAKDD
2010
ACM
208views Data Mining» more  PAKDD 2010»
13 years 6 months ago
Efficient Pattern Mining of Uncertain Data with Sampling
Mining frequent itemsets from transactional datasets is a well known problem with good algorithmic solutions. In the case of uncertain data, however, several new techniques have be...
Toon Calders, Calin Garboni, Bart Goethals
CIKM
2006
Springer
13 years 8 months ago
Efficient join processing over uncertain data
In an uncertain database, each data item is modeled as a range associated with a probability density function. Previous works for this kind of data have focussed on simple queries...
Reynold Cheng, Sarvjeet Singh, Sunil Prabhakar, Ra...
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
13 years 8 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
CIDM
2007
IEEE
13 years 8 months ago
An Efficient Distance Calculation Method for Uncertain Objects
Recently the academic communities have paid more attention to the queries and mining on uncertain data. In the tasks such as clustering or nearest-neighbor queries, expected distan...
Lurong Xiao, Edward Hung
EDBT
2009
ACM
173views Database» more  EDBT 2009»
13 years 9 months ago
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams
We present PROUD - A PRObabilistic approach to processing similarity queries over Uncertain Data streams, where the data streams here are mainly time series streams. In contrast t...
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan C...
SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
13 years 9 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...
VLDB
2007
ACM
149views Database» more  VLDB 2007»
13 years 10 months ago
Probabilistic Skylines on Uncertain Data
Uncertain data are inherent in some important applications. Although a considerable amount of research has been dedicated to modeling uncertain data and answering some types of qu...
Jian Pei, Bin Jiang, Xuemin Lin, Yidong Yuan
SSD
2007
Springer
132views Database» more  SSD 2007»
13 years 10 months ago
Computing a k -Route over Uncertain Geographical Data
An uncertain geo-spatial dataset is a collection of geo-spatial objects that do not represent accurately real-world entities. Each object has a confidence value indicating how lik...
Eliyahu Safra, Yaron Kanza, Nir Dolev, Yehoshua Sa...