Analyzing Large Data Sets to Find Deviation PatternsOperations, such as data processing operations, can be improved by applying clustering and statistical techniques to observed behaviors in the data processing operations.Sengupta, ArijitStronger, Brad A.Kane, Daniel
ANALYZING LARGE DATA SETS USING A COMPUTER SYSTEMA method and/or system for making determinations regarding samples from biologic sources. A computer implemented method and/or system can be used to automate parts of the analysis.Boris Fain
Clark N, Ma'ayan A (2011) Introduction to statistical methods for analyzing large data sets: Gene Set Enrichment Analysis (GSEA). Sci Signal 4:tr4.Clark, N.R.; Ma'ayan, A. Introduction to statistical methods for analyzing large data sets: Gene-set enrichment analysis. ...
Then, we introduce Data Cube Resilient Distributed Dataset (DRDD) to implement workflows with Composite Containers following the MapReduce paradigms. The proposed approach was implemented with Science Earth Platform and validated with two sets of up to 10-m resolution continental-scale land cover ...
RevoScaleR provides a framework for fast and efficient multi-core processing of large data sets. You can visualize and model data sets with millions of records on your local machine using syntax like: myLinMod <- rxLinMod(y ~ x + z, data=myData) ...
Analysis in Mixed Methods Research and Evaluation A necessary condition is trivial when either the outcome represents a very small subset of the condition as illustrated in Figure 5-2, or the outcome and conditions represent very large sets and are nearly "constants" as illustrated in Figure 5-...
The next section sets the theoretical background. Section 3 develops an algorithm and methods for generating a representative graph. Section 4 describes the datasets. The results are detailed in Section 5. Lastly, we discuss the contributions, innovations, and limitations of this work in Section 6...
RevoScaleR provides a framework for fast and efficient multi-core processing of large data sets. You can visualize and model data sets with millions of records on your local machine using syntax like: myLinMod <- rxLinMod(y ~ x + z, data=myData) ...
Tad usesSlickGridfor rendering the data grid. This allows Tad to support efficient linear scrolling of the entire file, even for very large (millions of rows) data sets. A few additional mouse clicks on the above view yields this view, pivoted by a few columns (Department,Classification,Period...
Another type of analysis is the division of classes of objects (sets) into subclasses (nonintersecting subsets) of the given set. Such a form of analysis is called classification. All these and other types of analysis are used both in obtaining new knowledge and in the systematization of al...