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Data Types and Advanced Data Types [PDF]

open access: possible, 2015
Transact-SQL is a strongly-typed language. Columns and variables must have a valid data type, and the type is a constraint of the column. In this chapter, we will not cover all data types comprehensively. We will skip the obvious part and concentrate on specific information and on more complex and sophisticated data types that were introduced in SQL ...
Miguel Cebollero   +2 more
openaire   +1 more source

Robust Data Types [PDF]

open access: possibleActa Informatica, 1982
The concept of a data type with total operations and exceptions is proposed as a basic structuring tool for the design of verifiable robust software. A notation for the specification of such data types is presented and the issues underlying their implementation in a programming language supporting data abstraction and exception handling are discussed ...
openaire   +2 more sources

QUEL as a data type

ACM SIGMOD Record, 1984
This paper explores the use of commands in a query language as an abstract data type (ADT) in data base management systems Basically, an ADT facility allows new data types, such as polygons, lines, money, time, arrays of floating point numbers, bit vectors, etc, to supplement the built-in data types in a data base system.
Erika Anderson   +3 more
openaire   +3 more sources

Typing abstract data types [PDF]

open access: possible, 1995
The purpose of this paper is threefold. First, we describe some basic ideas of constructive type theory, with emphasis on their value for specification. Second, we demonstrate the use of type theory as a specification language. This is done by means of a detailed example, namely, the specification of an abstract data type (ADT) for multisets.
openaire   +1 more source

The Surrogate Data Type

1995
This chapter introduces the SURROGATE data type, which allows time-varying objects to be modeled.
Jensen, C. S., Snodgrass, R. T.
openaire   +3 more sources

Longitudinal Data Analysis

Bayesian Approaches in Oncology Using R and OpenBUGS, 2020
Longitudinal studies are quite common in modern clinical trials and cohort studies. Unlike cross-sectional designs, where observations from study subjects are available only at a single time point, individuals in longitudinal or cohort studies are ...
Atanu Bhattacharjee
semanticscholar   +1 more source

Types of Data

2020
Natural language processing (NLP) is a field that helps humans communicate with computers naturally. It is a shift from the era when humans had to “learn” to use computers to computers being trained to understand humans. It is a branch of artificial intelligence (AI) that deals with language. The field dates back to the 1950s when a lot of research was
openaire   +2 more sources

The measurement of observer agreement for categorical data.

Biometrics, 1977
This paper presents a general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies. The procedure essentially involves the construction of functions of the observed proportions which are ...
J. Landis, G. Koch
semanticscholar   +1 more source

Elementary Data Types

1982
We have previously stated that all variables need be declared. This means that their names are introduced in the heading of the program. In addition to introducing the name (and thereby enabling a compiler to detect and indicate misspelled identifiers), declarations have the purpose of associating a data type with each variable.
openaire   +2 more sources

Scalar Data Types

1988
The ability to divide data into different types is one of the most important features of modern programming languages. It enables you to work with relatively complex objects instead of the more mundane objects that the computer manipulates at its lowest level. You can deal with integers, characters, and floating-point numbers, all of which are familiar
Peter A. Darnell, Philip E. Margolis
openaire   +2 more sources

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