Data Sets
SOFT SENSOR MODELS FOR A FRACTIONATION REFORMATE PLANT USING SMALL AND BOOTSTRAPPED DATA SETS
... small data set several strategies have been considered in the ...available data or by using the bootstrap resampling approach (Napoli and Xibilia, ...training data sets, which are obtained by ...
12
Can survival prediction be improved by merging gene expression data sets?
... merged data set, which could explain the rather disappointing prediction accuracy figures obtained after ...of data sets. In one other data set where it was present, its performance as a ...
14
Comparison and consolidation of microarray data sets of human tissue expression
... Remarkably, we found that the detected tissue-specific expression is strongly influenced by the choice of microarray platform. The observed divergence could have multiple reasons. Foremost, the set of tissue samples was ...
17
A Bayesian outlier criterion to detect SNPs under selection in large data sets.
... to data at each locus by computing PPP-values ...the data, relying explicitly on a model rather than opting for the identification of outliers based on an empirical or simulated distribution of summary ...
16
Identifying stably expressed genes from multiple RNA-Seq data sets
... Our basic intuition is that a numerical quantification of expression stability—which typically measures certain aspects of RNA-Seq count variation—can be more reliably estimated by using more data sets. ...
26
A Novel K-Means Based Clustering Algorithm for High Dimensional Data Sets
... Abstract- Data clustering is an unsupervised method for extraction hidden pattern from huge data ...dimensional data sets with enormous number of samples is a challenging ...dimensional ...
5
An Adaptive Sampling Ensemble Classifier for Learning from Imbalanced Data Sets
... The methods at algorithm level operate on the algorithms other than the data sets. Bagging and Boosting are two algorithms to improve the performance of classifier. They are examples of ensemble methods, or ...
5
Security Optimization for Distributed Applications Oriented on Very Large Data Sets
... large data, the use of databases is the least costly in terms of space occupied, storing strictly numerical or alphanumeric ...large data sets require special treatment in terms of both their design ...
14
Small Big Data: Using multiple data-sets to explore unfolding social and economic change
... to data collection and large-scale quantitative advances have long been a preoccupation for social science ...survey data and official statistics with ‘Big Data’ methodologists, and emphasise the ...
6
The Greenland Ice Mapping Project (GIMP) land classification and surface elevation data sets
... Abstract. As part of the Greenland Ice Mapping Project (GIMP) we have produced three geospatial data sets for the entire ice sheet and periphery. These are (1) a complete, 15 m resolution image mosaic, (2) ...
10
High-resolution daily gridded data sets of air temperature and wind speed for Europe
... high-resolution data sets for near-surface daily air temperature (minimum, maximum and mean) and daily mean wind speed for Europe (the CORDEX domain) are provided for the period 2001–2010 for the purpose of ...
26
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets
... expression data sets, but the basic idea of our approach is, of course, generic enough to be applicable to any other specific type of application ...expression data sets contain data ...
20
The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets
... son. Note that the main differences between these official products and those devel- oped in WACMOS-ET relate to the choice of forcing – see Mu et al. (2013), Miralles et al. (2011a) and Fisher et al. (2008) for the ...
50
Genetic evaluation for large data sets by random regression models in Nellore cattle
... evaluation data included 3,819,895 records of up nine sequential weights of 963,227 animals measured at ages ranging from one day (birth weight) to 733 ...Seven data samples were ...
9
Privacy Preservation and Restoration of Data Using Unrealized Data Sets
... of data using unrealized ...collected data samples in cases where information from the sample database has been partly ...sample data sets into a group of altered or unreal data ...
5
Measuring the value of research data: a citation analysis of oceanographic data sets.
... of data citation standards is the growing awareness of the need to properly preserve, describe, and provide access to data sets, a collection of activities sometimes referred to as data ...a ...
9
The compression–error trade-off for large gridded data sets
... individual data set, one needs to consider several ...the data sets in ques- tion will vary considerably for different ...Third, data sets vary considerably in their inherent ...
11
A framework to Deal with Missing Data in Data Sets
... each data set that contains a particular replacement of missing values were ...disease data sets were taken from the UCI repository [29] . Both data sets contain no missing ...HSV ...
6
A STUDY ON PRODUCING HIGHLY RELIABILE REFERENCE DATA SETS FOR GLOBAL LAND COVER VALIDATION
... The Global Change Observation Mission-Climate (GCOM-C1) is progressing along with the Japan Aerospace Exploration Agency (JAXA)’s activities, and the second-generation global imager (SGLI) on GCOM-C will be launched in ...
5
Towards unification of terrestrial gravity data sets in Estonia
... For the aforementioned revision the II order reference point No. 389 (Azarkina et al. 1984) located in Tallinn airport was used as the initial point. All the existing GSE datasets were checked with respect to this ...
17