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Peer reviewedMartella, G.; Gobbi, G. – Information Processing and Management, 1981
Proposes a microprocessor-based architecture that makes large use of parallelism both in processing and in retrieval operations. The proposed system consists of three functional blocks: the query processor, simple query executers, and the answer composer. Twenty-one references are listed. (FM)
Descriptors: Data Processing, Information Retrieval, Information Systems, Microcomputers
Beebe, David D. – Journal of Business Education, 1981
Describes a course in information processing which combines word processing (WP) and date processing (DP). The purpose of the course is to make students aware that WP and DP should not work in isolation but together for the common good of the organization. (JOW)
Descriptors: Business Education, Data Processing, Information Processing, Office Occupations Education
Hawkins, Michael L. – Georgia Social Science Journal, 1982
Describes a data processing exercise for social studies in the primary grades. Students create a histogram out of building blocks to represent the number of siblings in their families. Pictures of men, women, boys, and girls are used to construct a pictorial graph of the number of adults and children in students' families. (AM)
Descriptors: Data Processing, Family (Sociological Unit), Learning Activities, Primary Education
And Others; Borthwick, Sharon – Evaluation Quarterly, 1979
An encoding approach was designed to track developmentally disabled clients through a continuum of services in a service delivery system. After four years of use, the reliability of the encoding system was evaluated and found to be an effective means of tracking clients through a service delivery system. (Author/JKS)
Descriptors: Computer Programs, Data Processing, Databases, Developmental Disabilities
Peer reviewedJohnson, Mildred Fitzgerald – Business Education Forum, 1980
Discusses philosophy, facts, and opinions regarding the definition of computer literacy; presents suggested computer literacy course content; and recommends delivery systems or methodologies that can be used for instructional purposes. (Author)
Descriptors: Computer Science, Course Content, Data Processing, Definitions
Jones, Lawrence K. – Measurement and Evaluation in Guidance, 1980
There has been very little discussion of the issues in developing an occupational card sort despite the growing interest in this technique. Discusses these issues as they arose in developing an occupational card-sort system, known as Occu-Sort, and describes how card-sort developers have resolved them. (Author)
Descriptors: Data Processing, Measurement Techniques, Occupational Clusters, Occupations
School Business Affairs, 1979
A computer system assists the Arlington Independent School District's newly created tax office in all phases of its operation: property appraisal, billing, collecting, and record-keeping. (Author)
Descriptors: Computer Science, Data Processing, Elementary Secondary Education, Property Appraisal
Peer reviewedHunter, James – Business Education Forum, 1980
There is a demand in industry for both computer science graduates and business information systems graduates. Educators need to start this training at the secondary level with an introduction to all phases of data processing for any interested student. (CT)
Descriptors: Business Education Teachers, Computer Science, Data Processing, Information Systems
Peer reviewedOtto, Luther B.; Call, Vaughan R. A. – Journal of Marriage and the Family, 1990
Presents procedure, mixed-radix positional number algorithm, for reducing set of numerous changes and stabilities in multiple roles at given time to a single empirical code. Demonstrates applicability and utility of procedure to wide array of complex family analyses through a simple pedagogical example. (Author/NB)
Descriptors: Change, Data Processing, Family (Sociological Unit), Research Problems
Ranade, Sanjay – Optical Information Systems, 1990
Reviews requirements for a data archive system and describes storage media alternatives that are currently available. Topics discussed include data storage; data distribution; hierarchical storage architecture, including inline storage, online storage, nearline storage, and offline storage; magnetic disks; optical disks; conventional magnetic…
Descriptors: Archives, Computer Storage Devices, Data Processing, Databases
Peer reviewedBennett, Ruth L. – Hispania, 1988
Describes recordkeeping for the National Spanish Examinations by the Metropolitan New York Chapter of the American Association of Teachers of Spanish and Portuguese (AATSP). The layout of census and attendance forms is described, and the use of a word processing or database program to help organize and utilize information obtained from those forms…
Descriptors: Computer Assisted Testing, Data Processing, Language Tests, Recordkeeping
Peer reviewedNordlund, Daniel J.; Nagel, Rollin – Journal of Educational Statistics, 1991
Reasons/methods for standardizing discriminant function coefficients are reviewed, and use of the pooled within-groups variance estimate is examined. Use of total or pooled within-groups estimates can be justified only on purely mathematical grounds. Total variance estimates offer a more consistent and parsimonious approach than do pooled…
Descriptors: Data Processing, Discriminant Analysis, Equations (Mathematics), Estimation (Mathematics)
Peer reviewedBookstein, A.; Klein, S. T. – Information Processing and Management, 1990
Describes the theoretical framework of a retrieval system that uses data structures called bitmaps to improve search algorithms for medium-sized systems. Information retrieval systems that contain the full text of the documents are discussed, and the use of inverted files such as concordances for small texts is explained. (24 references) (LRW)
Descriptors: Algorithms, Data Processing, Full Text Databases, Indexes
Lehman, Jeffrey; Christmann, Edwin – New Mexico Middle School Journal, 1999
Mathematics curriculum for students in grades 5 through 8 should include explorations of statistics in real world situations. Provides a sample data-exploration activity. (ASK)
Descriptors: Data Processing, Mathematics Activities, Mathematics Curriculum, Mathematics Instruction
Guenther, Kim – Computers in Libraries, 2000
Explains how libraries can use data mining techniques for more effective data collection. Highlights include three phases: data selection and acquisition; data preparation and processing, including a discussion of the use of XML (extensible markup language); and data interpretation and integration, including database management systems. (LRW)
Descriptors: Data Collection, Data Interpretation, Data Processing, Database Management Systems


