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» Using Data Mining to Estimate Missing Sensor Data
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RC
2007
128views more  RC 2007»
14 years 9 months ago
Bounds on Generalized Linear Predictors with Incomplete Outcome Data
This paper develops easily computed, tight bounds on Generalized Linear Predictors and instrumental variable estimators when outcome data are partially identi…ed. A salient exam...
Jörg Stoye
BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
14 years 9 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
ICDM
2007
IEEE
174views Data Mining» more  ICDM 2007»
15 years 3 months ago
Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs
In this paper we propose the integration of Data Mining with Hidden Markov Models when applied to the problem of acoustic bird species recognition. We first show how each of them...
Erika Vilches, Ivan A. Escobar, Edgar E. Vallejo, ...
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
12 years 12 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
JNW
2008
123views more  JNW 2008»
14 years 9 months ago
An Application-Specific Reliable Data Transfer Protocol in Wireless Sensor Networks
- We present a new protocol for reliable data transfer in time-critical applications with zero tolerance for data loss in wireless sensor networks which uses less time and fewer me...
Damayanti Datta, Sukhamay Kundu