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Ribeiro-Neto, Berthier; Laender, Alberto H. F.; de Lima, Luciano R. S. – Journal of the American Society for Information Science and Technology, 2001
Evaluates the retrieval performance of an algorithm that automatically categorizes medical documents, which consists in assigning an International Code of Disease (ICD) based on well-known information retrieval techniques. Reports on experimental results that tested precision using a database of over 20,000 medical documents. (Author/LRW)
Descriptors: Algorithms, Automation, Classification, Databases

Grumbach, Stephane; Tahi, Fariza – Information Processing & Management, 1994
Analyzes the properties of genetic sequences that cause the failure of classical algorithms used for data compression. A lossless algorithm, which compresses the information contained in DNA and RNA sequences by detecting regularities such as palindromes, is presented. This algorithm combines substitutional and statistical methods and appears to…
Descriptors: Algorithms, Coding, Comparative Analysis, Databases

Berry, P. A. M.; Meadows, A. J. – Journal of Documentation, 1987
Reviews the current status of satellite remote sensing data, including problems with efficient storage and rapid retrieval of the data, and appropriate computer graphics to process images. Areas of research concerned with overcoming these problems are described. (16 references) (CLB)
Descriptors: Algorithms, Computer Graphics, Computer Storage Devices, Copyrights

Lynch, Clifford A. – Journal of the American Society for Information Science, 1988
Describes the unique reliability problems of very large databases that necessitate specialized techniques for hardware problem management. The discussion covers the use of controlled partial redundancy to improve reliability, issues in operating systems and database management systems design, and the impact of disk technology on very large…
Descriptors: Algorithms, Computer System Design, Database Management Systems, Databases
Bobbitt, L. G.; Carroll, C. D. – 1993
The National Center for Education Statistics conducts surveys which require the coding of the respondent's major field of study. This paper presents a new system for the coding of major field of study. It operates on-line i a Computer Assisted Telephone Interview (CATI) environment and allows conversational checks to verify coding directly from…
Descriptors: Algorithms, Coding, Computer Assisted Testing, Computer Software