Discusses properties of multiple attribute tree (MAT) and inverted file structures; establishes suitability of MAT data structure for bibliographic files using worst-case performance measures; provides arguments to establish MAT average case superiority; and proposes an efficient adaptation of MAT data structure to exploit special features of MAT…

Reviews recent research into the use of hierarchic agglomerative clustering methods for document retrieval. The topics discussed include the calculation of interdocument similarities, algorithms used to implement clustering methods on large databases, validity testing of document hierarchies, appropriate search strategies, and other applications…

Discusses various strategies for assessing importance of journals for acquisition; describes a discipline-specific selection algorithm which uses journal citation data to identify journals that contribute to a discipline's research foundation as well as those used for professional practice; and reports on two studies which demonstrated the…