A data set (or dataset) is a collection of data. In the case of tabular data, a data set corresponds to one or more database tables, where every column...

input data. These input data used to build the model are usually divided into multiple data sets. In particular, three data sets are commonly used in different...

The Iris flower data set or Fisher's Iris data set is a multivariate data set used and made famous by the British statistician and biologist Ronald Fisher...

In computer science, a disjoint-set data structure, also called a union–find data structure or merge–find set, is a data structure that stores a collection...

In computer science, a set is an abstract data type that can store unique values, without any particular order. It is a computer implementation of the...

of data sets include price indices (such as the consumer price index), unemployment rates, literacy rates, and census data. In this context, data represent...

In databases, change data capture (CDC) is a set of software design patterns used to determine and track the data that has changed (the "deltas") so that...

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries...

The Common Data Set (CDS) is an annual product of the Common Data Set Initiative, "a collaborative effort among data providers in the higher education...

the number of clusters in a data set, a quantity often labelled k as in the k-means algorithm, is a frequent problem in data clustering, and is a distinct...

A key-sequenced data set (KSDS) is a type of data set used by IBM's VSAM computer data storage system.: 5  Each record in a KSDS data file is embedded...

In the context of IBM mainframe computers in the S/360 line, a data set (IBM preferred) or dataset is a computer file having a record organization. Use...

Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics...

Data.gov, Data.gov.uk and Data.gov.in. Open data can be linked data - referred to as linked open data. One of the most important forms of open data is...

The Minimum Data Set (MDS) is part of the U.S. federally mandated process for clinical assessment of all residents in Medicare or Medicaid certified nursing...

create insights from data. Data science is an interdisciplinary field focused on extracting knowledge from typically large data sets and applying the knowledge...

algorithm for predicting ratings by 10.06%. Netflix provided a training data set of 100,480,507 ratings that 480,189 users gave to 17,770 movies. Each training...

process of data dredging involves testing multiple hypotheses using a single data set by exhaustively searching—perhaps for combinations of variables that might...

processing often via scripts or a data quality firewall. After cleansing, a data set should be consistent with other similar data sets in the system. The inconsistencies...

also be reviewed. There are several types of data cleaning, that are dependent upon the type of data in the set; this could be phone numbers, email addresses...

potential uses. Data wrangling typically follows a set of general steps which begin with extracting the data in a raw form from the data source, "munging"...

for use by others. It is a practice consisting in preparing certain data or data set(s) for public use thus to make them available to everyone to use as...

A linear data set (LDS) is a type of data set organization used by IBM's VSAM computer data storage system.: 5  The LDS has a control interval size of...

Minimum Data Set (NMDS) is a classification system which allows for the standardized collection of essential nursing data. The collected data are meant...

The Healthcare Effectiveness Data and Information Set (HEDIS) is a widely used set of performance measures in the managed care industry, developed and...

Data visualization is concerned with visually presenting sets of primarily quantitative raw data in a schematic form. The visual formats used in data...

needed to update and keep multiple copies of a set of data coherent with one another or to maintain data integrity, Figure 3. For example, database replication...

set of numbers is the value separating the higher half from the lower half of a data sample, a population, or a probability distribution. For a data set...

threshold or the number of expected clusters) depend on the individual data set and intended use of the results. Cluster analysis as such is not an automatic...

exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization...