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PVLDB
2010
81views more  PVLDB 2010»
9 years 8 months ago
SOLOMON: Seeking the Truth Via Copying Detection
We live in the Information Era, with access to a huge amount of information from a variety of data sources. However, data sources are of different qualities, often providing con...
Xin Dong, Laure Berti-Equille, Yifan Hu, Divesh Sr...
MA
2010
Springer
114views Communications» more  MA 2010»
9 years 8 months ago
Finite-sample inference with monotone incomplete multivariate normal data, II
We continue our recent work on finite-sample, i.e., non-asymptotic, inference with two-step, monotone incomplete data from Nd(µ, Σ), a multivariate normal population with mean ...
Wan-Ying Chang, Donald St. P. Richards
PE
2007
Springer
131views Optimization» more  PE 2007»
9 years 9 months ago
Moment estimation in delay tomography with spatial dependence
Parametric models for estimating network link delays with incomplete data that incorporate spatial correlation are formulated. Fast numerical methods for estimation of parameters ...
Ian H. Dinwoodie, Eric A. Vance
NCA
2007
IEEE
9 years 9 months ago
Handling of incomplete data sets using ICA and SOM in data mining
Based on independent component analysis (ICA) and self-organizing maps (SOM), this paper proposes an ISOM-DH model for the incomplete data’s handling in data mining. Under these ...
Hongyi Peng, Siming Zhu
TSMC
2008
89views more  TSMC 2008»
9 years 10 months ago
A Probabilistic Wavelet System for Stochastic and Incomplete Data-Based Modeling
A probabilistic wavelet system (PWS) is proposed to model the unknown dynamic system with stochastic and incomplete data. When compared with the traditional wavelet system, the PWS...
Zhi Liu, Han-Xiong Li, Yun Zhang
EUSFLAT
2007
105views Fuzzy Logic» more  EUSFLAT 2007»
9 years 11 months ago
SPoID: Do Not Throw Meaningful Incomplete Sequences Away!
Industrial databases often contain a large amount of unfilled information. During the knowledge discovery process one processing step is often necessary in order to remove these ...
Céline Fiot, Anne Laurent, Maguelonne Teiss...
ISIPTA
2005
IEEE
140views Mathematics» more  ISIPTA 2005»
10 years 3 months ago
Conservative Rules for Predictive Inference with Incomplete Data
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...
Marco Zaffalon
ICML
1997
IEEE
10 years 11 months ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
ICDE
2008
IEEE
130views Database» more  ICDE 2008»
10 years 11 months ago
A Sampling-Based Approach to Information Recovery
There has been a recent resurgence of interest in research on noisy and incomplete data. Many applications require information to be recovered from such data. For example, in sens...
Junyi Xie, Jun Yang 0001, Yuguo Chen, Haixun Wang,...
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