data set


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data set

[′dad·ə ‚set]
(computer science)
A named collection of similar and related data records recorded upon some computer-readable medium.
A data file in IBM 360 terminology.

data set

a collection of information (‘observations’) made on a group of individuals and relating to certain VARIABLES in which the investigator is interested. This data may be gained from interviews, surveys, experiments, etc. See also DATA ANALYSIS, RESEARCH METHODS.

data set

(operating system, storage)
An IBM term for a file.

data set

(1) A collection of interrelated data. Originating in the mainframe community, the term is used today as a generic description of a database, which may include multiple tables. It may also refer to some other data structure and sometimes to a single file or collection of files. See database and file.

(2) In earlier AT&T terminology, a data set is a telephone modem.
References in periodicals archive ?
Table 6 lists the values of the F- test and corresponding significance level for each data set. Datasets [W.sup.6.sub.1], [W.sup.12.sub.1], [W.sup.18.sub.1], [W.sup.12.sub.7], and [W.sup.18.sub.13] had 21, 20, 20, 16, and 17 regression models, respectively.
After the training, the resulting data set is further used to detect anomalies.
More narrowly defined, the data set represents those sources Biraben was able to find in the timespan of researching his book while working in Paris.
Rossow studied 36 academic publications from 2006 to 2011 and proposed that every researcher should adopt a prudent attitude toward designing malware experiments, especially with regard to the balance of data set collection [15].
Assume the region R(x) contains [k.sub.j](x) points of the jth class and k(x) points of the data set. We estimate the density by
Input: a training data set [{[x.sub.i], [y.sub.i]}.sup.N.sub.i=1], the radius coefficient r, the unlabeled data set U = [{[x.sub.j], [y.sub.j]}.sup.N.sub.j=1], the support vectors S = [phi], and the neighborhood data set M = [phi].
SoB based home range estimates for the smaller data set (female) were also larger when compared with IT's (95% contour: 25% to 61.8%; 50% contour: 36.1% to 79.4%), even for the Brownian Bridges method at the 50% contour (Table 2).
In this part introduces the data sets, we will describe the data sets collection process and the feature representations for each data set, as well as some basic statistics of the data set.
* [D.sub.s] is a simulated data set using the augmented control.
In the first phase, missing observations in the data set are imputed to the appropriate values m times (the number of imputation in this study is determined as m=5).