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Peer reviewedTanaka, Hideki; Kumano, Tadashi; Uratani, Noriyoshi; Ehara, Terumasa – Information Processing & Management, 1999
Presents a document-clustering algorithm that uses a term frequency vector for each document in a Japanese collection to produce a hierarchy in the form of a document classification tree. Introduces an application of this algorithm to a Japanese-to-English translation-aid system. (Author/LRW)
Descriptors: Algorithms, Cluster Grouping, Japanese, Structural Analysis (Linguistics)
Peer reviewedKim, Young Whan; Kim, Jin H. – Journal of Documentation, 1990
Proposes a model of knowledge-based information retrieval (KBIR) that is based on a hierarchical concept graph (HCG) which shows relationships between index terms and constitutes a hierarchical thesaurus as a knowledge base. Conceptual distance between a query and an object is discussed and the use of Boolean operators is described. (25…
Descriptors: Algorithms, Distance, Evaluation Methods, Expert Systems
Peer reviewedNesbit, John C.; Hunka, Steve – Instructional Science, 1987
Proposes a criterion for selecting a sequence of objectives from a learning hierarchy and describes a sequence generating algorithm which is designed to generate a minimal memory load sequence from a learning tree. Its effectiveness in generating low memory load sequences from hierarchies that are not trees is also discussed. (RP)
Descriptors: Algorithms, Computer Assisted Instruction, Educational Objectives, Instructional Design
