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Lafouge, Thierry; Laine-Cruzel, Sylvie – Information Processing & Management, 1997
Proposes a mathematical model using the probability formalism to explain why a geometrical law is observed in distributions related to library circulation data. Highlights include techniques based on convolution theory; Lotka's law; and Bradford's law. (Author/LRW)
Descriptors: Geometric Concepts, Library Circulation, Mathematical Formulas, Mathematical Models
Peer reviewed Peer reviewed
Kumar, Suresh; Sharma, Praveen; Garg, K. C. – Information Processing & Management, 1998
Examines the applicability of Lotka's Law, negative binomial distribution, and lognormal distribution for institutional productivity in the same way as it is to authors and their productivity. Results indicate that none of the distributions are applicable for institutional productivity in engineering sciences. (Author/LRW)
Descriptors: Engineering, Institutional Characteristics, Mathematical Formulas, Productivity
Peer reviewed Peer reviewed
Nelson, Michael J. – Information Processing & Management, 1997
Applies a prefix trie index, or trie hashing, to the problem of providing fast search times, fast load times, and fast update properties in a bibliographic or full-text retrieval system with inverted files. Statistics are given for a test database consisting of an online catalog at the University of Western Ontario. (Author/LRW)
Descriptors: Bibliographic Databases, Full Text Databases, Indexing, Information Retrieval
Peer reviewed Peer reviewed
Li, Hang; Yamanishi, Kenji – Information Processing & Management, 2003
Presents a single framework for conducting topic analysis that performs both topic identification and text segmentation. Key characteristics of the framework are: representing a topic by means of a cluster of words closely related to the topic; and employing a stochastic model, called a finite mixture model, to represent a word distribution within…
Descriptors: Content Analysis, Electronic Text, Information Processing, Information Retrieval
Peer reviewed Peer reviewed
Huber, John C. – Information Processing & Management, 1998
Demonstrates that the statistics of exceedances generates Lotka's Law--a widely-observed distribution of authors of scholarly papers and patents. The Frequency of production (papers or patents per year) and Lifetime (career duration) are exponentially distributed random variables. Empirical, phenomenological, and mathematical development shows…
Descriptors: Authors, Information Dissemination, Patents, Scholarly Journals
Peer reviewed Peer reviewed
Jansen, Bernard J.; Spink, Amanda; Saracevic, Tefko – Information Processing & Management, 2000
Describes a study that analyzed transaction logs of users of Excite, an Internet search service. Highlights include data on sessions (changes in queries, number of pages viewed, and relevance feedback), queries (number of search terms and the use of logic and modifiers), and terms (rank/frequency distribution); user characteristics; and failure…
Descriptors: Information Retrieval, Relevance (Information Retrieval), Search Strategies, Statistical Distributions
Peer reviewed Peer reviewed
Marchionini, Gary; Mu, Xiangming – Information Processing & Management, 2003
Describes a series of user studies used to advance understanding of how people use electronic tables (E-tables) and inform the development of a Web-based statistical table browser for use by non-specialists. Results of needs assessment, prototype development, and user studies provide a foundation for understanding E-tables in general and guiding…
Descriptors: Computer Interfaces, Computer System Design, Needs Assessment, Statistical Data