Embodiments of the present invention relate to analysis of large data sets using distributed polynomial interpolation. Particular embodiments compile such data sets from a large number of nodes. According to certain embodiments, a node gathers data for a certain time interval, and then approximates ...
Method 5 – Utilizing Power Pivot for Analyzing Large Data Sets Another method for conducting Pivot Table analysis on large datasets is by leveraging the Power Pivot feature. Close the current workbook and open a new one. Navigate to Power Pivot and click on Manage. In the Power Pivot window...
Advanced Statistical Methods for the Analysis of Large Data-Sets The theme of the meeting was "Statistical Methods for the Analysis of Large Data-Sets . In recent years there has been increasing interest in this subject;... A Rapposelli - Springer Publishing Company, Incorporated 被引量: 27...
New methods for parsimony analysis of large data sets are presented. The new methods are sectorial searches, tree-drifting, and tree-fusing. For Chase et al. 's 500-taxon data set these methods (on a 266-MHz Pentium II) find a shortest tree in less than 10 min (i.e., over 15,000...
The process of analyzing large data sets often includes an early exploratory stage to first, develop a basic understanding of the data and its interrelationships and second to prepare and cleanup the data for hypothesis formulation and testing This preliminary phase of the data analysis process ...
当当中华商务进口图书旗舰店在线销售正版《海外直订Advanced Statistical Methods for the Analysis of Large Data-Sets 用于分析大型数据集的高级统计方法》。最新《海外直订Advanced Statistical Methods for the Analysis of Large Data-Sets 用于分析大型数据集的高级统
(2011). Introduction to Statistical Methods for Analyzing Large Data Sets: Gene-Set Enrichment Analysis. Science Signaling, 4(190):tr4.Clark, N. R., Ma'ayan, A., 2011. Introduction to statistical methods for analyz- ing large data sets: gene-set enrichment analysis. Science...
For small data sets FAST-LTS typically finds the exact LTS, whereas for larger data sets it gives more accurate results than existing algorithms for LTS and is faster by orders of magnitude. This allows us to apply FAST-LTS to large databases. 展开 ...
Using modern CPUs with adequate memory, most Stata data processing commands run so quickly on small- or moderate-sized data sets that it is impossible to tell whether one command performs more efficiently than another. However, when analyzing large data sets such as the Nationwide Inpatient Sample...
Process virtualization of large-scale lidar data in a cloud… nbt.4079-Random access in large-scale DNA data storage leveraging existing data sets to generate new insights into alzheimer's disease biology in specific patient subsets An Efficient Data Envelopment Analysis with a large data set in ...