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Shaw, Rachel J.; Willett, Peter – Information Processing and Management, 1993
Examines research on the observed values of retrieval effectiveness obtained in searches of files of nearest neighbor document clusters. Results show interdocument similarities used to generate nearest-neighbor clusters are significantly different from randomly generated clusters. (Contains 14 references.) (EAM)
Descriptors: Bibliographic Records, Cluster Analysis, Comparative Analysis, Information Retrieval
Peer reviewed Peer reviewed
Chen, Ye-Sho; And Others – Information Processing and Management, 1994
Investigates the relationships between the parameters of the Simon-Yule model and the shapes of three bibliometric distributions: Lotka's Law of Scientific Productivity; Bradford's Law of Bibliometric Scattering; and Zipf's Law of Word Frequency. The results indicate that the probability of a new entry determines the characteristics of all three…
Descriptors: Bibliometrics, Information Science, Information Utilization, Mathematical Formulas
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Choros, Kazimierz; Danilowicz, Czeslaw – Information Processing and Management, 1982
Discusses methods of weighting of descriptors in document search patterns together with the concept of relative indexing and conditions which should be satisfied by descriptor weight. A procedure for modifiying document search patterns based on users' informational needs and opinions is outlined, and examples are given. Sixteen references are…
Descriptors: Algorithms, Indexing, Information Retrieval, Information Seeking
Peer reviewed Peer reviewed
Damerau, Fred J. – Information Processing and Management, 1993
Examines the use of various statistical techniques for generating domain-oriented multiword vocabulary terms for natural language database systems. Conclusions show the vocabulary clustering effect should be considered when making significance calculations and that a simple ratio of subject matter relative frequency to total sample relative…
Descriptors: Automatic Indexing, Cluster Analysis, Comparative Analysis, Database Design