large data sets
Fitting parametric random effects models in very large data sets with application to VHA national data
... very large data sets (VLDS) which require fitting complex models to answer questions of public health ...“very large” because of large numbers of study subjects or units of analysis ...
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Core Vector Machines: Fast SVM Training on Very Large Data Sets
... Results are shown in Figure 3. As can be seen, CVM is as accurate as the other implementations. Besides, it is much faster 6 and produces far fewer support vectors (which implies faster testing) on large ...
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Analysis of large data sets using formal concept lattices
... emerging data tech- nology that has applications in the visual analysis of large-scale ...However, data sets are often too large (or contain too many formal con- cepts) for the ...
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Log Linear Model for String Transformation Using Large Data Sets
... two large data sets show that our method improves upon the baselines in terms of accuracy and efficiency in string ...a large scale datasets. Experimental results on two large ...
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Parallel Computing for Mixed-Stable Modelling of Large Data Sets
... of large data ...index data are used as empirical data in this ...for large amounts of data and promotes a wider use of stable modelling for the statistical data ...
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A System for Multilingual Sentiment Learning On Large Data Sets
... very large data sets been used in empirical studies of sentiment ...multilingual data. Our implementation is fast, allowing a large number of documents to be classified in a short amount ...
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Efficient algorithms for fast integration on large data sets from multiple sources
... multiple data sets as relatively large as we discussed ...clusters data on an n-attribute key and the second phase applies the sorted-neighbourhood method within each ...handle large ...
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SEARCHING LARGE DATA SETS IN GRID COMPUTING
... Searching Large Data Sets inside a Grid Enabled Engineering Applications, DAME, describe the use of Grids in the health-monitoring ...indication Data Explorer employ industrial within the DAME ...
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Abstract: Big Data in medicine includes possibly fast processing of large data sets, both current and
... on large data sets have been created, which allow classification of objects with great efficiency - Inception model [20] trained using ImageNet containing 1000 categories of images is subject to a ...
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Supervised sampling for clustering large data sets
... in data collection procedures, the size of the data sets has dramatically increased posing challenges to their statistical ...such data sets are MRI pictures, transaction data ...
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Precision-Recall versus Accuracy and the Role of Large Data Sets
... ing data is necessary to cope with class-imbalance, we per- formed an experiment on a severely imbalanced data set, comparing the performance ...balanced data and training on a larger data set ...
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Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"
... Coming back to the comparison of solvers, our first experiment (Section 2) shows how different sets of hyper-parameters produce different behaviors for both CVM and SimpleSVM. We also give results with libSVM ...
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by Chance Enhancing Interaction with Large Data Sets Through Statistical Sampling
... model data used in Influence Explorer ...infinite data set and so only a finite subset of input parameters can be put through the ...a large number of points ...
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Time series clustering in large data sets
... The objective of the presented paper is to compare clustering results made with diff erent parameters of feature vectors and the SOM itself. We are describing time series in a simplistic way evaluating stan- dard ...
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Privacy Preserving Data Analytics using Cryptographic Technique for Large Data Sets
... of data. Nowadays, data has become the centric point of all industry and all are moving around data ...on data value rather than services. Morally, large data volume is generated ...
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fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Sets
... for large data sets with hun- dreds of thousands of genetic ...a data set with 1000 samples genotyped at 500,000 loci with K = 10, each iteration of our current Python implementation of ...
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Security Issues Associated With Big Data in Cloud Computing
... of large sets of data in a distributed computing ...Hadoop, large data sets can be processed across a cluster of servers and applications can be run on systems with thousands of ...
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Survey Paper On Big Data
... larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of ...
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Strategies for MCR image analysis of large hyperspectral data sets
... ToF-SIMS data analysis, certain systems such as microarrays can still pose a challenge because of the number of separate samples (spots) involved and/or because it is desirable to analyse mm-scale ...requires ...
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Modelling Structures in Data Mining Techniques
... Abstract: Data mining involves finding out patterns of data from within large data sets-The large sets of data can be structured or unstructured-The data ...
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