Automatic Document Classification
Journal of the ACM (JACM)
Automatic Document Classification Part II . Additional Experiments
Journal of the ACM (JACM)
Is Automatic Classification a Reasonable Application of Statistical Analysis of Text?
Journal of the ACM (JACM)
Utility of automatic classification systems for information storage and retrieval
Utility of automatic classification systems for information storage and retrieval
The construction of an empirically based mathematically derived classification system
AIEE-IRE '62 (Spring) Proceedings of the May 1-3, 1962, spring joint computer conference
Information storage and retrieval-analysis of the state of the art
AFIPS '64 (Spring) Proceedings of the April 21-23, 1964, spring joint computer conference
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Our concept of what is considered large-library-processing changes with the growth of published information and with the progress of the relevant data processing technology. The size of the library may be characterized by the number of entities that it concerns and the average number of retrieval terms that index the information about each entity. This applies to the processing of bibliographic services in preparation of recurring bibliographies of periodical literature and to the processing inherent in acquisition and custody of a library collection and communicating information regarding the collection to the library's users. In this context, a large library may be considered to have from 50,000 to tens of millions of individual publications with each publication characterized by from 10 to 100 retrieval terms. Numerous existing libraries and bibliographic services fall in this range.