Project Graform: graphic format data handling study; final report.

"RADC-TDR-63-320."

A study and proposed re-design of the materials handling process for the Freeville Concrete Products Co., of Factory Street, Freeville, N. Y.

"Study made for Methods Engineering, Course 3262, Cornell University, for term paper, Fall, 1956."

Development of a data bank for officer effectiveness ratings. Project 7717, Task 17110, Contract AF 41 (657)-244, Data Processing Center.

Mode of access: Internet.

What is user friendly? : Clinic on Library Applications of Data Processing, 1986 /

Includes bibliographies and index.

Engineering data;

Mode of access: Internet.

Illinois Data Processing Center : IDPC briefing.

Cover title.

Research bases of language data processing system design.

Includes bibliography.

Operator's manual : automated data processing system AN/MYQ-4A, (NSN 7010-01-158-5397).

Includes indexes.

Salary administration for data processing personnel.

Mode of access: Internet.

Company investigations of automatic data processing.

Mode of access: Internet.

Automatic data-processing systems;

Mode of access: Internet.

Considerations in the selection of security measures for automatic data processing systems /

"Contributed to the Federal Information Processing Standards Task Group 15 - Computer Systems Security" -t.p.

100 years of data processing : the punchcard century /

Mode of access: Internet.

Spacelab data processing facility : users' guide.

Cover title.

Selecting optimal instantiations of data models - Theory and validation of an ex ante approach

The schema of an information system can significantly impact the ability of end users to efficiently and effectively retrieve the information they need. Obtaining quickly the appropriate data increases the likelihood that an organization will make good decisions and respond adeptly to challenges. This research presents and validates a methodology for evaluating, ex ante, the relative desirability of alternative instantiations of a model of data. In contrast to prior research, each instantiation is based on a different formal theory. This research theorizes that the instantiation that yields the lowest weighted average query complexity for a representative sample of information requests is the most desirable instantiation for end-user queries. The theory was validated by an experiment that compared end-user performance using an instantiation of a data structure based on the relational model of data with performance using the corresponding instantiation of the data structure based on the object-relational model of data. Complexity was measured using three different Halstead metrics: program length, difficulty, and effort. For a representative sample of queries, the average complexity using each instantiation was calculated. As theorized, end users querying the instantiation with the lower average complexity made fewer semantic errors, i.e., were more effective at composing queries. (c) 2005 Elsevier B.V. All rights reserved.