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| Mathematical Formulas | 3 |
| Probability | 3 |
| Information Science | 2 |
| Tables (Data) | 2 |
| Bibliometrics | 1 |
| Cluster Grouping | 1 |
| Feedback | 1 |
| Information Retrieval | 1 |
| Information Theory | 1 |
| Information Utilization | 1 |
| Mathematical Models | 1 |
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| Information Processing and… | 3 |
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| Journal Articles | 3 |
| Reports - Research | 3 |
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Peer reviewedZunde, Pranas – Information Processing and Management, 1981
Discusses the empirical importance of Shannon's Information Theory and its impact on information science, and investigates the principle of least effort as a means of broadening the empirical foundation of Information Theory. Listed are 14 sources. (Author/RBF)
Descriptors: Information Science, Information Theory, Mathematical Formulas, Probability
Peer reviewedvan Rijsbergen, C. J.; And Others – Information Processing and Management, 1981
Describes the use of relevance feedback to select additional search terms and discusses the extraction of these terms from a maximum spanning tree connecting all terms in the index term vocabulary; retrieval effectiveness for different spanning trees is shown to be similar. Eight references are included. (Author/BK)
Descriptors: Cluster Grouping, Feedback, Information Retrieval, Mathematical Formulas
Peer reviewedChen, 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


